{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "加载canada数据集，构建LSTM建模的基础数据集，提炼训练集与测试集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "src_canada = pd.read_csv(\"http://image.cador.cn/data/canada.csv\")\n",
    "\n",
    "tmp = src_canada.drop(columns=['year','season'])\n",
    "vmean = tmp.apply(lambda x:np.mean(x))\n",
    "vstd = tmp.apply(lambda x:np.std(x))\n",
    "t0 = tmp.apply(lambda x:(x-np.mean(x))/np.std(x)).values\n",
    "SEQLEN = 15\n",
    "dim_in = 4\n",
    "dim_out = 4\n",
    "X_train = np.zeros((t0.shape[0]-SEQLEN-8, SEQLEN, dim_in))\n",
    "Y_train = np.zeros((t0.shape[0]-SEQLEN-8, dim_out),)\n",
    "X_test = np.zeros((8, SEQLEN, dim_in))\n",
    "Y_test = np.zeros((8, dim_out),)\n",
    "for i in range(SEQLEN, t0.shape[0]-8):\n",
    "    Y_train[i-SEQLEN] = t0[i]\n",
    "    X_train[i-SEQLEN] = t0[(i-SEQLEN):i]\n",
    "for i in range(t0.shape[0]-8,t0.shape[0]):\n",
    "    Y_test[i-t0.shape[0]+8] = t0[i]\n",
    "    X_test[i-t0.shape[0]+8] = t0[(i-SEQLEN):i]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "基于keras构建LSTM的网络结构"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from keras.layers import LSTM, Dense\n",
    "from keras.models import Sequential\n",
    "model = Sequential()\n",
    "model.add(LSTM(45, input_shape=(SEQLEN, dim_in),activation='relu',recurrent_dropout=0.01))\n",
    "model.add(Dense(dim_out,activation='linear'))\n",
    "model.compile(loss = 'mean_squared_error', optimizer = 'rmsprop')\n",
    "history = model.fit(X_train, Y_train, epochs=2000, batch_size=5, validation_split=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "对后面8条测试数据进行预测，并绘制对比图表"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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dyo9//OOwxTASfh+MCZUDBw7g8/l48cUXe9UQx8fHB+0fugMhIu+p6rwjXzl2jMQxeSSMxxD+3wdjDsXr9Qb2AXY6nQPeB7ipqYkTTzyRbdu2sWzZMtatWxe0EqK6ujoqKioQEQoKCvp1GEhfDjceh2yGWESiReRhEfmriLwqInNFJE9EXu7Wlt7t+ngR2SEis0MVozFm9GpubmbRokUsWLCAs88+e9ie+hhjzFjTtYjO7XYTExMz4EV0qso3vvENtm3bxty5c7nvvvuCWk+fmppKamoqqkp5eXnggJBgCuUuE1cCblU9TUTmAKXAHmCVqr4jIouBWUBN5/U/BJJDGF/QLV++PNwhGDMuuFwuLrjgAv72t7+Rm5uLx+Nh6dKllgCbABuPjTm06upqmpqaBr2I7vXXX2f9+vU4nU6eeOKJQc/gHk5OTg5ut5uWlhbKy8spKCjo9+Eg/RHKhPho4HkAVf1IRCYBMcCXReSnwCbgcQARORFIBf45lDdU1XG94ncslMMYcyQej4fFixfz2muvkZWVxWuvvRbY2N2MLDYm25hsRp7GxsbAqXBTpkwhJiZmwH187nOf47e//S1Op5OZM2cGO0TAv/PElClT2L59O21tbVRUVDBp0qSgjSmhXFS3GThP/E7Bn/DOBv5XVRfgnw1eISKRwI+B7x+uMxEpFJFNIrKpr6NYY2Njqa2tHbcDkKpSW1s74NWhxowmPp+Pyy+/nGeeeYaUlBReeeUVZsyYEe6wTB9sTLYx2Yw8LpeLPXv2AJCVlYXT6Rx0X8uXL+crX/lKsELrU2Rk5IBrm/vdd9B7PLTf4C+J2ABsBLYCU1X1pc7XnwHOATKBh1W15nAfWFVLgBLwL+Do+frkyZPZs2cPfSXL40VsbCyTJ08OdxjGDAtV5dvf/ja/+93vSEhI4MUXXxzw5u8mdGxMtjHZjCxer5fy8nJ8Ph9JSUmkp6cf+aYe93/729/mW9/6VkgPPYqLi2P69OlER0cHNTEOZUJ8ErBBVW8QkeOBOUCEiJyuqhuBBfhLJJYCPhFZDhwHPCQi56rqgEbRqKgoCgoKgvoBjDEjh6oSERFBTEwMzz77LCeffHK4QzKHYWOyMSOHqrJ7927a29sD/1AbaHL5wx/+kDVr1vDiiy/yySefEBUVNUzR9jaYso4jCWVC/AmwWkRuBJqAq4EU4B7x/ynsBFaq6v1dN4jIm8BVA02GjTFjn8Ph4Je//CXXXHONbWNljDEDUFVVRXNzMxEREeTm5g54cdpLL73EHXfcgYjwwAMPhDQZHi4hS4hVtQY4u0fzTuDMw9yzYDhjMsaMPo899hj/7//9PzIyMhARS4aNMWYAGhoaAqVLU6ZMITo6ekD3l5eXc9lll6Gq3HHHHSxcuHA4wgw5O6nOGDNqPPTQQyxevJgFCxYM6UhQ49fXfu8icr+IXNX568+IyJvdvlpF5PzwRWyMGQqXy8XevXsByM7O7nX64pG0t7dz8cUXU1tbyxe+8AWKioqGI8ywCGXJhDHGDNpTTz3FihUrALj88suJi4sLc0RjQmC/dxHJBNbhX/z8PoCqvod/fQci8iXg66r6TDgCNcYMTUdHB2VlZfh8PpKTk0lLSxtwHzfccANvv/02ubm5PPzww0HdBzjcxs4nMcaMWa+88gqLFy/G5/OxatUqrr/++nCHNOr1sd+7E7gVeLiPa2OBu4BvhSxAY0zQdC2i83g8xMbGMnHixH4voistLSU/Px+Hw8EjjzxCXFwcjz/++KAS6pHMEmJjzIi2ceNGvvzlL9Pe3s53vvMdbr/99nCHNOr1td+7qm5X1XcPccs3gKdUdf9h+jzs3vDGmPCprKykpaVlwIvoSktLKSwspKysLLCXNsAnn3wynOGGhSXExpgRa9euXSxatIi2tjZWrFjBz3/+83F90lkQ3Ujnfu/9vP4y4H8Od4GqlqjqPFWdl5GRMeQAjTHBceDAAWpq/H/Vc3NzB7SIrqioiNbW1oPa2traxlTtcBdLiI0xI0r3x3NnnXUW8+fP56tf/SoPPPDAmKpXC7NzgOWdW1t27ffeZxYrIilAtqp+FML4jDFB0NbWFlhEl5OTQ0JCwoDuLy8vH1D7aGaL6owxI0bX47muGYny8nJqampYs2YNERERYY5u7FDVwHaX/djvvQD/yaLGmFHE5/NRXl6OqpKSkkJqauqA+0hNTQ2USXSXm5sbjBBHFJtuMcaMGH09nmttbWXVqlVhimjsU9UFqrq12/e3qeqabt//XVXPCU90xpjBqqurw+PxEBMTQ05OzoDLzT788EMaGxt7tcfHx1NcXBysMEcMS4iNMSPGeHo8Z4wxw8Xn8wXqhrOysgZcbtbc3MxFF12Ex+Nh/vz55OXlISLk5eVRUlLC0qVLhyPssLKSCWPMiNDc3ExUVBTt7e29XhuLj+eMMWa41NbW0tHRQVxcHE6nc0D3qipXX301W7duZc6cObz00kvEx8cPU6Qjh80QG2PCzu12B7ZW6/lYb6w+njPGmOHg9XoDs8OZmZkDLpXYvn07TzzxBPHx8axfv35cJMNgCbExJsw6OjpYsmQJr7/+OllZWfzsZz8bF4/njDFmONTW1uL1eomPjx/w0cwA06dP59133+WRRx7h6KOPHoYIRyYrmTDGhNX69et56qmnSE5O5pVXXuHYY4+1k+iMMWYQhjo73GXOnDnMmTMnmKGNeJYQG2PCasmSJWzfvp2zzz6bY489NtzhGGPMqFVTU4PP5yMhIWFAs8OqypVXXsnpp5/OihUrhjHCkctKJowxYdHW1gaAiLBq1SpOO+20MEdkjDGjV0dHR2DP4KysrAHd+8ADD7B27VquvfZaKioqhiO8Ec8SYmNMyP3iF7/ghBNOYM+ePeEOxRhjxoSu2eHExMQBLYTbvHkz3/nOdwC4//77mThx4nCFOKJZQmyMCal169bxH//xH2zdupUNGzaEOxxjjBn1PB7PoGaHGxsbueiii3C73Vx55ZXjegFzyBJiEYkWkYdF5K8i8qqIzBWRPBF5uVtbuohEisg6EdkgIu+IyBdDFaMxZng99dRTXHHFFQDcfffdLFmyJMwRGWPM6FdTU4Oq4nQ6iYuL69c9qkphYSGffvopxx57LL/4xS+GOcqRLZSL6q4E3Kp6mojMAUqBPcAqVX1HRBYDs4DpQLOqzheRdOA94NkQxmmMGQavvfYaixcvxufzccstt3DdddeFOyRjjBn1PB4PdXV1wMBmh++//34ee+wxEhMTefzxx/udSI9VoSyZOBp4HkBVPwImAdOAL4vIm8A84C3gCaCo8x5fCOMzxgyTt956K3DwxrXXXsttt90W7pCMMWZMqK6uRlVJSkoiNja23/fNnz+fo446igceeICZM2cOY4SjQygT4s3AeeJ3CpAKzAb+V1UXAMnAClVtVtUGEXECfwBW9dWZiBSKyCYR2VRdXR2ij2CMGYyXX36ZlpYWli1bxj333DPovTGNMcb8n/b2durr6wH/vsMDMWfOHDZv3szixYuHI7RRJ5QJ8W+AemADcAGwFXCp6kudrz8DHA8gIpOA14BHVPWhvjpT1RJVnaeq8zIyMoY9eGPM4N1yyy2sX7+etWvX4nCMrrW8qkpTUxP79u0LdyjGGHOQqqoqVJXk5OR+zQ6rKq+99hqqCkB0dPRwhzhqhPIn00nABlU9A3gU2AmUicjpna8vAP4pIjnAK0CRqj4YwviMMUFUUVERSCJFhIsuuojIyNFzFlBXIrxjxw7Kysqora2ltbU13GEZYwwAbrebAwcOANDficFf//rXLFy4kGuvvXY4QxuVQvnT6RNgtYjcCDQBVwMpwD3if366E1gJ3AmkAT8QkR903vsFVW0LYazGmCGoqalh4cKFuN1uXn/9dfLy8sIdUr+pKi0tLVRVVQUS4IiICDIyMgZUn2eMMcOpqqoKgJSUFGJiYo54/aZNm/je974HwJlnnjmssY1GIUuIVbUGOLtH806g55/Kdzu/jDGjSGlpKUVFRZSXlxMVFUV7eztz587F6XSGO7R+a2lpobKy8qBEOD09ndTUVCIiIsIcnTHG+LlcLhoaGhCRfs0OHzhwgIsvvhiPx8M111zDxRdfHIIoR5fR8/zSGDNilZaWUlhYGEgk29vbERGuuuoqUlNTwxzdkXXNCLe0tAD+RDgtLY20tDRLhI0xI0732eEj1QGrKpdffjk7d+7khBNO4O677w5FiKPO6FrdYowZkYqKinrV16oqP/vZz8IUUf+0trayc+dOdu7cSUtLCw6Hg8zMTGbOnElmZqYlw8aYEaetrY3GxsYjzg6XlpaSn5+Pw+HgqaeeIjY2lvXr1/ervGI8shliY8yQlZeXD6g93FpbW6mqqqK5uRkAh8NBWloa6enplgQbY0a0rtnh1NRUoqKi+rym51M7AJ/Px1tvvcW0adNCEudoYzPExpghy83NHVB7uLS1tVFWVsaOHTtobm7G4XCQkZHBzJkzycrKsmTYGDOitba20tTUdMTZ4b6e2rW3t1NUVHSIO4wlxMaYQeva8qe4uJj4+PiDXouPj6e4uDgcYfXSlQhv37498MMkPT09kAiPpu3gjDHjV9fscFpa2mHHrdH21G4ksITYGDNgqsptt93GnDlz2LNnD0uXLqWkpIS8vDxEhLy8PEpKSli6dGnY4mtvb6exsZHy8vJeifCsWbPIzs4e94mwiMSLyA4Rmd2t7X4Ruarb958Tkb+IyHsicp/YMYPGhEVLS0vgyVZ6evphr500aVKf7SPtqd1IMr5/GhhjBsztdnPFFVdQWlqKw+Fgw4YNLFmyhKVLl4Y8AVZVPB4Pbrcbl8uF2+0O/LrrJCbwHwySmppKenr6IWvuxqkfAskAIpIJrANmAe93tsXh3xt+gaoeEJFVQAZQFZZojRmnVJXKykrgyLPDACeccAJ79uw5qG0kPbUbiSwhNsb0W01NDRdccAF/+ctfSEhI4LHHHuPcc88d9vdVVTo6OnolvW63G5/P1+c9kZGRxMTEEB8ff9jFJ+OViJwIpAL/7GxyArcC3f9ATwY+Bv5bRPKAtapqybAxIdbS0kJra2tgb/TDqaio4NVXXwUgOzubyspKcnNzKS4uDttTu9HAEmJjTL9s27aNc889l+3btzNp0iSee+45jjvuuKC/j6ricrlobW0NJL0ul+uQiW9ERASxsbHExMQE/hsTEzPuyyEOR0QigR8DlwB/AFDV7cB2EemeEOcAnwWOB+qBDSLylqpu66PPQqAQ7LGsMcHUc3b4SIt/b7/9dtra2rjwwgt54oknQhHimGA/MYwxR1RfX8/pp59ObW0txx9/PM8+++wha9QGw+v10tzcTFNTE83NzXR0dPS6JiIiolfSGxsba4nv4NwIPKyqNUcoCXYB76jqHgAR+RNwLNArIVbVEqAEYN68edrzdWPM4DQ3N9PW1hY4MOhwtm3bxtq1a4mIiOBHP/pRiCIcG+wniTHmiFJSUrjpppv4y1/+QmlpKYmJiUPqT1Vxu92BJLjrhLgukZGRJCYmEhsbG0iAIyMjsfVcQXMO4BOR5cBxwEMicq6qVve47h3g1yKSAjQBpwEPhDRSY8ax7rPDGRkZR5wdLioqwuv1UlhYyKxZs0IR4phhCbExpk8+n4/y8nLy8/MBuOGGG7j++utxOAa3OY3P56O5uTmQBHs8noNej4+Px+l04nQ6iYmJseR3GKnqmV2/FpE3gav6SIZR1b0i8n3gFcALrFfVrSEL1JhxrqmpCZfLRWRkJKmpqYe9duvWrTzxxBPExcVx6623hijCscMSYmNMLy6Xi+XLl/P666/z9ttvM3XqVERkwElqz1ng7js/REREBBLgxMREOxQjTFR1QY/vb+vxfSlQGsKQjDH0nh0+0mTE7Nmz+fOf/8zHH3/MxIkTQxHimGIJsTHmINXV1Zx//vn87W9/w+l0UlZWxtSpU/t1r6rS0tJCU1MTTU1NtLe3H/R6XFxcIAGOi4uzWWBjjDmExsZG3G43UVFRpKSk9OueM888kzPPPPPIF5peLCE2ZpwrLS2lqKiI8vJysrOz8Xg81NTUMGXKFJ5//nmOOeaYfvXT0tLCvn37cLlcgbaIiAgSExNJTEzE6SQEqr8AACAASURBVHTaAjhjjOkHVQ2cSnek2WGv18sHH3wwLLv+jCf208mYcay0tJTCwsLAmff79u0DoKCggI0bN5KTk3PEPjo6Oti/f3/gGOeoqCiSk5NJTEwkPj7eZoGNMWaADhw40O/Z4UceeYRly5bx3e9+l3vuuSdEEY49lhAbM44VFRUFkuHuOjo6jpgMqyp1dXVUVlbi8/kCxyL3p9bNGGNM31wuV6B2ODMz87CTCm63m1WrVgFw/PHHhyS+sSpkCbGIRANrgWlAC3Ad/m18SvCfkNQCLOncF3Ml8MXOW69X1bdCFacx40l5eXmf7T2P/OypZ3lEYmIiOTk5xMTEBD1GY4wZL5qbmykvL8fn85GQkEBycvJhr7/vvvsoKytj7ty5XHbZZSGKcmwK5QzxlYBbVU8TkTn4Vy3vAVap6jsishiYJSKZwCLgDCAXeAKYF8I4jRkX/v73v5ORkRGoU+vuUCeN9VUekZOTg9PptNKIYSIiHwPvd35tBjar6v7wRmWMCbaGhgb27NmDqpKUlMTkyZMPO642NDSwevVqAP7rv/7LduoZolA+1zwaeB5AVT8CJuGfLf5y5z6Y84C3gPnAy+pXBkSKSFLPzkSkUEQ2icim6upe22caYw5BVbn33ns59dRTaWpqIi4u7qDX4+PjKS4u7nVPbW0tH3/8MQcOHEBEyMjIYMaMGSQlJVkyPLzuBuqA8/Efs7xXRPaJyIsi8l8icrGIzAxviMaYoaipqWH37t2oKqmpqUyZMuWIpWd33nkntbW1zJ8/n3PPPfew15ojC2VCvBk4T/xOAVKB2cD/du6DmQysANKAA93ua+5sO4iqlqjqPFWdl5GRMezBGzMWNDY2smTJEr71rW/R3t7O8uXLuffee8nLy0NEyMvLo6SkhKVLlwbuaW1tZfv27ezbtw+fz0diYiLTp08nKyvLaoVDQFXXqOrVqnoq8FmgHHgW2AEsAB4FtohIU/iiNMYMhqqyf/9+9u/3P/TJysoiJyfniJMM+/bt4+677wbgJz/5iU1KBEEoSyZ+A8wCNgAbga3AVFV9qfP1Z/AfJ/ohMKHbfclAbQjjNGZM2rx5MxdddBGffvopiYmJPPDAAyxevBiA5cuX97reyiNGpAeBa1T1xa4GEZkPPAz8NmxRGWMGzOfzsXfvXhoaGgCYNGlSv/cbjoyMZNmyZdTU1HDqqacOZ5jjRigT4pOADap6g4gcD8wBIkTkdFXdiH+m45/4k+VfAj8WkQLAo6qNIYzTmDHnkUce4fLLL8ftdnPsscfy+OOPM3Nm30/ZbfeIEW0GsK17g6puEJFvATcDt4clKmPMgHi9XsrLy2lpacHhcJCbm0tiYmK/78/IyOC+++7D5/MNY5TjSygT4k+A1SJyI/7dJa4GUoB7xD/dtBNYqaoeEfmTiGwAIjqvM8YMQUFBAV6vl8LCQu65555edcNdWltbqaiosN0jRq63gCuAoh7tWwDbc8mYUcDj8VBWVobL5SIyMpK8vLxDjsl98fl8gckJm6QInpAlxKpaA5zdo3kn0OuMQVX9IfDDUMRlzFi1f/9+srOzATj11FP58MMPmTVrVp/XdnR0UFlZSX19PeAvj8jOzrYFcyPP94A3RSQX+Dn+p2oxwI1A7+1CjDEjitvtZteuXXg8HqKjo8nPzyc6Orrf97/77rt8/etf5yc/+Qlf/OIXj3yD6Tf7p4UxY4yqUlJSQkFBAc8880ygva9k2Ov1UllZyccff0x9fX2gPGLGjBlMmDDBkuERRlU3AycCmcAmoBVoBL4OrAxjaMaYI2htbWXHjh14PB7i4uKYOnXqgJJhVWXlypVs2bKFv/zlL8MY6fhkJ9UZM4Y0NzfzzW9+k0ceeQSADRs2cP755/e6zufzUVdXR3V1NV6vFwCn00l2draVR4xwqvoJ8HkRmYK/TMIHbLK9iY0ZuRobGwPbqjmdzn5tq9bTq6++yhtvvEFycjIrV9q/f4PNEmJjxogPPviAiy66iG3btpGQkMCaNWt6nVykqtTX11NVVUVHRwfg33c4Ozub+Pj4cIRtBklVdwO7wx2HMebw6urqqKioACAlJYWJEycO+Ombz+fjpptuAuDmm2/u924Upv8sITZmFCstLeU///M/DzqCee7cuTz++OPMnj070KaqNDY2UllZSXt7OwCxsbFkZWWRmJhopRGjhIjEAHcAX8JfO/wB8DtVfTysgRljelFVqqqq6Do8LDMzk4yMjEGNt48++iibN29m0qRJXHvttcEO1WAJsTGjVmlpKYWFhbS2tgbaIiIi+N73vndQMtzc3ExlZSVtbW0AREdHk5mZaTXCo9OdwHnAvYAb/wmgvxGRxcAlqtoRzuCMMX6qyt69ewP7uE+cOJHU1NRB9dXe3s4PfvADAO64444B7Uhh+q9fBSwikikiT4jIARGpEpHJwx2YMebQOjo6uPnmmw9KhsG/SO722/1b0ba2trJz50527dpFW1sbkZGRTJw4kRkzZpCcnGzJ8Oh0EbBUVX+mqr9U1auA6UA+tqjOmBHB5/NRVlYWOOY+Nzd30MkwwMcff4zL5eKoo45i2bJlQYzUdNffiu578R+1/FUgEYgGEJFfichNwxSbMaYPL7/8Mscddxy7d/ddPlpeXk55eTk7duwIbPqelZXFzJkzSU1NtUR4dIulx/ZqqloJXAesCEtExpiAjo4Odu7cSXNzMxERERQUFJCUlDSkPufOncsnn3zCk08+SWSkPdgfLv1NiM8GvquqrwHebu3PAIuDHpUxppctW7awaNEizjnnHD766KNDDozZ2dk0NjYGtlCbNWuWnTI3dvwZ/8EcPe0BskIcizGmG1UNPJGLiopi6tSpQVusnJCQcFApnAm+/v6E9AKuPtq3A1ODF44xpqfa2lquvfZajjnmGF588UWSkpL46U9/yoMPPthrsI2NjeW73/0uqampzJw5k+zsbCIiIsIUuRkGK4GrRKRERI4WEYeIxALfBT4Kc2zGjGu1tbW4XK5AMjzULSwrKyu57bbbaGxsDFKE5nD6O/f+PLAM+EGP9iQOnjE2xgRRbW0tM2bMoL6+HofDwVVXXcXtt99OZmYm7e3ttLS0sHr16sCpdCtXruSb3/ym7SU8RqnqFhE5CygBPgQ68E9s1AK9N5w2xoREe3s7lZWVgH8BXVRU1KD7Ki0tpaioiLKyMsC///DGjRuDEqc5tP4mxP8JvNdZeyiAikg8cAvw92GKzZhxLy0tjUWLFlFVVcVdd93FMcccQ1tbG7t376ahoYEzzzyTV155hcTERLKysmz18RgmIhHA14BnVPUUEZkJzAWagLdVdcDTSJ3j+IfAIlXd2tl2P/C+qq7p/P4u4LP4T8QDOF9VG4b8gYwZI1SViooKVJUJEybgdDoH3Vdfuwf9/e9/p7S0lKVLlwYjXHMI/SqZUNW9wKnAPCAefxJ8ADgduHHYojNmnPnHP/7B5z73Of70pz8F2h588EFeeukl8vLy2LFjB9u3b6ehwZ+PTJgwgWnTppGfn2/J8Binql78C5yTO7//WFWfVNVXB5MMd/phV3+duwm9AHyuxzWfAc5R1QWdX5YMG9NNQ0NDYBFdTk7OkPoqKirqtXuQy+WiqKhoSP2aI+v3ckVV3QmcIyK5wL8BHuAtVT0wXMEZM15UVlbygx/8gLVr16KqqCqf/exn8fl8tLa2Ul5eHjhQw+FwkJKSQlpaGtHR0WGO3ITY34BZwM6hdiQiJ+LfPeifnU1O4Fbg3G7XSOf73S8iGcBaVf3tUN/bmLGio6ODffv2Af4FzUPdBaL7IUv9aTfBM+A/OVUtB+xPxpgh6KoRKy8vZ8KECbS1teF2u4mMjOSaa66hqKiIyspK6urq8Hr9ZfpRUVGkpaWRkpJiC+XGrxKgWES2dU5SDIqIRAI/Bi4B/gCgqtuB7SJybrdL4/HPSt+F/4nimyLyd1X9Rx99FgKFALm5uYMNzZhRZf/+/Xi9XhISEkhOTh5yf9nZ2YEEuzv7OzX8bEM7Y0KsZ41Y10lGxx13HP/zP/9DWloa1dXVqCoAcXFxpKWl2clyBuD3nf/9sLO84c/4S9g2q2rroW/r5UbgYVWtOcL/Uy7g7q6+ReQN4BigV0KsqiX4E3bmzZunA4jFmFGpubk5cPjGxIkTgzI+n3HGGTz++MEnscfHx1NcXDzkvs3h2cakxoRYXzViANXV1TgcDurr61FVnE4nBQUFTJ061U6WM12m4D+6uRjwAdcC/ws0iMi/BtDPOcByEXkTOA54qLMkoqfpwNsiEikiUcB84L0hxG/MmODz+aioqAAgIyMjaDv7rF+/nuuuu44pU6YgIuTl5VFSUmIL6kIgZDPEIhINrAWmAS34T1YqAH7B/5Vg3ApsAB4AZuNP2K9W1c2hitOY4VJfX88999xzyFqwiooKRCRQH2xbp5meVHWviNQAe/Fvh7kN/zj5b8CxA+jnzK5fdybFV6lqdR/XbROR3+KvXe4AfquqW4b0IYwZA6qqqmhvbycmJob09PQh9+f1egOlcHfffTd33333kPs0AxPKkokrAbeqniYic4BS4Glgpaqu77pIRM4BklT1dBH5d/wzIef22aMxo4DP5+M3v/kNN998MzU1NUyYMCGwS0R3kyZNYtasWXY0pzkkEVmIf+xM62xy4S+j+E9V/dtg+lTVBT2+v63H93fhryE2xuDf9aGmpgbwj9tDPQV048aNXHHFFfz+97/n+OOPD0aIZhBCWTJxNP4ZDVT1IyAH/3Y+K0Rkg4jc1bnQox1IEBEH/lXPH4YwRmOC6u233+bkk0/myiuvpKamhlNOOYUVK1YQGxt70HXx8fH8+Mc/tmTYHMmv8NcNz8B/VPOlnb/+u4jkhy8sY8YHVWXv3r0ApKamDvlo5qqqKi6++GK2bdvGo48+GowQzSCFMiHeDJwnfqcA6cBfgW8DZwKJwDX4SyaSgK34F2j0WRcnIoUisklENlVX93rSZ0xYVVZWsmLFCk455RQ2bdpEdnY2P/3pTykpKeGKK67gRz/6kdWImcHIBW5W1R2qWqOqz6jqWcCfgF+GOTZjxry6ujra2tqIjIwkKytrSH15vV4uvfRSKioqOOOMM1i9enWQojSDIV0r2Yf9jfynLP0EOAXYiL8M4vSuTd5FZBFwIf79NSeo6o0iMgV4B5h1uI3n582bp5s2bRruj2BMv/3+97/n0ksvJTo6mmXLlnHllVcSHx+P0+kkIyNjyLMKZvQQkfdUdV6Q+noH+L6q/rlH+yzgPVVNDMb7DJWNyWYsam9v59NPP8Xn85Gbm0tSUtKQ+lu1ahWrV68mMzOT999/n4kTJwYpUnMohxuPQ/l89iRgg6reICLHA3OAf4rI/M69jRfiT37zgf2d99QCDYA7hHEaMyi7du0iLy+PlpYWTj75ZL7xjW/w5S9/mfz8fCZMmEB6enqvUgljBugR4Fci8uXOfYO7ZAD1YYrJmDFPVdm3bx8+n4+kpKQhJ8Mvvvgiq1evxuFw8Oijj1oyPAKEMiH+BFgtIjcCTcDV+Lf0eVxE3MBH+HehSAJ+KyLnd8Z3o6paQmxGrPLycq6//nr++Mc/8sILLwQeo1133XWkpKSQnp5OVFRUmKM0Y0TX0vMtIvIs8D7+0rclwPVhi8qYMa6xsZGmpiYcDseQj2eur6/nsssuA2D16tV89rOfDUaIZohClhCrag1wdo/mncCrPdrqgS+HJChjBqj7CXOTJ0/mpJNO4oUXXqCtrY24uDg2b97MokWLSEtLIy0tzU6UM8GWgX/f4K6vS/AfrSzArSJyIf6jmP+pqs+FLUpjxhCv13vQ8cxDneBISUnh3nvv5emnn+amm24KRogmCEJWQzycrF7NhELPE+a6+/znP8/KlSs55phjSElJGfI2PGbsCGYN8SH6jwHmcnCifIyqDv0c2UGyMdmMJXv37qW+vp74+HgKCgrskKRRbKTUEBszqh3qhLm0tDQeffRRO1rZhEVnSdl72AlyxgRdS0sL9fX1QTme+emnn2bKlCl85jOfCWKEJlgsITbmCFSVpqamQ54wV1dXR3Jy2CbjjDHGDIPuxzMPdVH0v/71L5YuXYrX6+X999/nqKOOClaYJkgsITbmEDweD3V1ddTX19PR0UF2dnagjqy73NzcMERnjDFmONXU1OB2u4mOjiYjI2PQ/TQ1NfGVr3yF1tZWLrvsMmbPnh3EKE2wWKGjMd10zQaXlZWxbds2qqur6ejoIDo6mltuuaXX/sHx8fEUFxeHKVpjjDHDweVy0XXo11COZ1ZVCgsL2bp1K3PmzGHNmjVWWjdC2QyxMUBHRwf19fXU1dXh8XgC7UlJSaSmppKQkMDMmTNxOp2BXSZyc3MpLi62E+aMMWYMUVUqKipQVVJSUkhISBh0X/feey+PPvooiYmJPPHEE0PqywwvS4jNuKWqtLS0UFdXR1NTE107rkRFRZGamkpKSgqRkQf/FVm6dKklwMYYM4bV19fT2tpKZGQk2dnZg+7n7bff5rrrrgPgwQcfZNasWcEK0QwDS4jNuNPR0cGBAweoq6ujvb090O50OklNTSUxMdEeaRljzDjk8XjYv99/WG5OTs6Q9pKvrq4mNjaWq666iksuuSRYIZphYgmxGTdaW1upq6ujoaEhMBscGRlJSkoKqampdpqcMcaMc13HMzudziEfz3zeeefx/vvvM2XKlCBFZ4aTLaozY15rayu7du1ix44dHDhwAFUlMTGR3NxcZs2aRVZWliXDxhgzzjU2NtLY2Bg4nnmgTwpLS0vJz8/H4XCQn59PaWkp06ZNIzo6epgiNsFkM8RmzGpra6OyspLm5mYAHA4HqamppKam2gBljDEmwOv1BvYczszMHPDPiJ4nmZaVlVFYWAhg605GCZshNmNOW1sbZWVlbN++nebmZhwOBxkZGcycOZPs7GxLho0xxgR0dHSwZ88eOjo6iIuLIy0tbcB99HWSaWtrK0VFRcEK0wwzmyE2Y4bL5aKqqorGxkYARIS0tDTS09N77RZhjDHGNDQ0UFFRgdfrxeFwDPp45kOdZHqodjPyWJZgRj23201VVRUNDQ2APxFOTU0lPT3daoONMcb00tHRQUVFRWACJT4+nkmTJhETEzPgvv7whz8EFmr3ZCeZjh6WEJtRy+12U11dzYEDBwB/IpySkkJGRoYlwsYYY3pRVRoaGti3b19gVjgrK4vU1NRBzQw/8sgjfO1rXwP8uxZ1dHQEXrOTTEcXS4jNqNPe3k5VVVUgEQYCibDVBxtjjOmLx+OhoqKCpqYmABISEpg0adKQfm7MmTOHpKQkrrvuOqZNm2YnmY5ilhCbUaO9vZ3q6mrq6+sDbcnJyYNaEWyMARGJBz4EFqnq1s62+4H3VXVNj2vXA2/0bDdmpFNVDhw4ENhj2OFwkJ2dTUpKypAPYfq3f/s3tmzZEjjRzhLg0StkCbGIRANrgWlAC3AdUAD8AuiqOr9VVf8sIt8HvgQkAf+tqg+GKk4z8ng8nkAi3FWnlZycTEZGxqDqvYwxAT8EkgFEJBNYB8wC3u9+kYh8ETgbeCPE8RkzJB6Ph7179wa230xMTGTixImDnkRRVW655RamTp3KihUrAIZ0vLMZOUI5Q3wl4FbV00RkDlAKPA2sVNX1XReJyInAfOAsIBG4KYQxmhHE6/VSXV1NbW1tIBGeMGECmZmZlggbM0SdY20q8M/OJidwK3Buj+uS8E9gPBDSAI0ZAlWlvr6e/fv3B2aFc3JySE5OHvSssM/n47rrruOXv/wl0dHRLFy4kMmTJwc5chMuoUyIjwaeB1DVj0QkB/gMcLKIXAu8gz/5PRfYij9ZtoR4HPL5fNTV1VFdXY3X6wUgKSmJzMxMYmNjwxydMaOfiEQCPwYuAf4AoKrbge0icm6Py/8LWA2ceYQ+C4FCsJX1Jrza29vZu3cvLS0tADidTiZOnDikxdZer5fCwkJ+85vfEB0dzWOPPWbJ8BgTyoR4M3CeiDwNnAykA38F1gM7gDXANUAOMBM4B8gDnhWR2dpjTxMbfMeertW/lZWVeDwewL9KNzs7m/j4+DBHZ8yYciPwsKrWHG62TEROB+JU9Q0ROWxCrKolQAnAvHnz+t6DyphhpKrU1dVRWVmJz+cjIiKCnJwcJkyYMKRa4fb2dr72ta+xfv164uPjefrpp1m4cGEQIzcjQSgT4t/gr03bAGwEtgD3qmoDgIg8A1yIv774BVV1Ax+LSDP+5Lm6e2c2+I4tzc3NVFZW0tbWBkBMTAxZWVk4nc4hL3owxvRyDuATkeXAccBDInKuqlb3uO584GgReRPIB9pFZLuqvhrKYI05kp6zwklJSUycOHHIhzK5XC4uuuginnvuOZKSknj++ec544wzghGyGWFCmRCfBGxQ1RtE5HhgDvBPEZmvquXAQvxlE43AChG5C8jCXzZRE8I4TQi5XC72798fWPAQGRlJZmZmUFb/GmP6pqqB2d7OZPeqPpJhVPXGbtfdBuy3ZNiMJF2zwvv370dViYiIYOLEiUyYMCEo/e/evZu//e1vpKWl8fLLL/OZz3wmKP2akSeUCfEnwGoRuRFoAq4GpgOPi4gb+Aj/LhSKv7b4r533Xd2zXMKMfh6Ph8rKysBewg6Hg/T0dNLT03E4HGGOzpjxQ1UX9Pj+tkNc12e7MeG0b98+6urqAP+i65ycnCHPCnc3Y8YMXn75ZWJjY5kzZ07Q+jUjT8gSYlWtwb9tT3c7gb5mG74//BGZcOhr54jU1FQyMzODOogZY4wZ25qbm6mrq0NEmDJlCklJSUHpt6qqijfffJOLL74YwGaFxwnLQExIHGrniKysLNtCzRhjzID4fD4qKioAyMjICFoyvGfPHhYuXMi2bduIjIzkwgsvDEq/ZuSzhNgMK9s5whhjTLBVVlbS3t5OTEwM6enpQ+qrtLQ0cOSyw+HA6/VyzDHHcPrppwcpWjMaWEJshoWq0tLSwv79+3G5XIDtHGGMMWboWltbqa2tBWDSpElDWndSWlpKYWEhra2tgL+sz+Fw8O1vf5usrKygxGtGB1u9ZIJKVWlubmbnzp3s2rULl8tFZGQkEydOZPr06SQlJVkybIwxZlB8Ph979+4FID09fchPGouKigLJcPf3+NGPfjSkfs3oYzPEJii6EuGqqqrAXsIRERGkp6eTlpZmO0cYY8YVn89HbW0t7e3tgUmA7pMBPdsO918Rwel0DumktbGiuroat9tNdHQ0mZmZQ+6vvLx8QO1m7LKE2AzJ4RLh1NRUIiIiwhyhMcaEls/no7y8PLC/ejBERkYydepUoqOjg9bnaONyuaiu9m+XPdRSiS65ubmUlZX12W7GF0uIzaCoKk1NTVRXV1sibIwxnbxeL2VlZbS2thIREXHQLGbXVpOH+u+hXmttbcXlcrFz506mTp06LmeKVTVQKpGamkpCQsKg+2ptbeW5557j4osvpri4+KAaYvAv/C4uLh5yzGZ0sYTYDEhXIlxVVRVYLBcREUFGRgapqalWGmGMGbc6OjooKyujra2NyMhI8vPziY2NHXK/Xq+XXbt20dbWxq5duygoKBh3+7bX1tbS1tZGVFTUkBa77du3j/PPP593330Xj8fD0qVLAQK7TOTm5lJcXBxoN+PH+PobZQatr0Q4MjIyMCNsibAxZjzzeDzs2rUrUN+an58ftPKGiIgI8vLy2LlzJ263m7KyMvLz88fNkzi3201lZSUAEydOHPTn/uCDDzj33HPZvXs3BQUFHH/88QAsXbrUEmBjCbE5PFWlsbGR6upqS4SNMaYP7e3t7Ny5E4/HQ0xMDPn5+UEva+iacd6xYwdtbW2BpHisj8FdpRKqSnJyMk6nc1D9vPjii1xyySU0NTVx6qmn8vTTTwdlUZ4ZO8b23yQzaF0Hanz66afs3r07sH1aTk4OM2fOJD09fcwPxMYYcyQul4sdO3bg8XiIi4ujoKBg2Gp8o6KiAuUSra2tlJeX4/P5huW9Ror6+vpAPXZ2dvag+vj1r3/NeeedR1NTE4sXL+aNN96wZNj0YjPE5iDt7e00NTVRV1eH2+0G/DMTGRkZpKSkWBJsjDGdump6vV4vCQkJ5ObmDnsZQ1c5xs6dO2lubmbv3r1Mnjx5TO7v3t7ezv79+wF/qcRg6qabmpq488478fl8rFq1ittuu81+jpk+WUI8znm9XlpaWmhubqa5uZn29vbAa1FRUWRkZJCcnGwDiDHGdNPS0kJZWRk+nw+n08mUKVNCNk7GxsYGkuKGhgYcDgcTJ04cU0mxqlJRUYHP5yMpKYmkpKRB9eN0Onnuued4//33ueyyy4IcpRlLLCEeZ1SVtra2QALc84Qeh8NBYmIiTqeTCRMmWCJsjDE9NDU1UV5ejqoyYcKEsMzQxsXFkZeXx65du6ivr8fhcJCdnT1mkuKGhgaam5txOBzk5OQM6HPt3r2bJ598ku9+97sAzJkzhzlz5gxXqGaMsIR4HPB4PIEEuLm5Ga/Xe9Dr8fHxJCYmkpiYSFxc3JgZUI0xJtgaGhrYvXs3ACkpKWGdme0q0ygrK6O2trbXvsejVUdHB/v27QMgJydnQDXZmzZt4ov/n717j4+zLvP//7pmcpyczwlNkxRaWhAUtYCIQBFQFMRFQZSidkViceWkwooVEaQ/2S+w+/VIqYt0LXH9giyCyKKCosiqWFxQsGBPOTTnc2aSTDKZuX5/zGRM26RN02TuezLX8/GYR5N77kzezcx85prPfA7vex8dHR2Ulpba6hFm1qwgXoQikcg+wyAmxwJPSk9PjxfAubm5KbN0jzHGHIm+vj7a2toAKC0tpaKiwvEOhMnhGi0tLXR1deH1eikpKXE005Fqa2sjHA6Tm5tLYWHhrH/u0UcfZe3atYyOjrJmzRre8573LGBKs9gkrCAWkQzgfuAYYBi4AVgGfB2Y3DT8fdgMawAAIABJREFUVlX9dex8H/AK8F5VfS1ROZPVxMQEg4ODDA0NMTIyss/ORx6Ph5ycnHgBnJGR4XgjbowxyaSnpyc+wauiooKysjKHE/1dQUEB4XCYtrY22tvb8Xg8FBUVOR1rToaGhhgaGprVuOiGhob4hhoFBQUMDAwAsG7dOu67776U3ubaHL5E9hBfBYyp6ttF5A1AA/Bj4Auq+tA0538VmP1bwxSkqgQCAfr7+/H7/fsUwdnZ2fEC2OfzWQFsjDFzoKp0dXXR3d0NRD/Cd2MPbHFxMZFIhI6ODlpbW/F4PBQUFDgd67BMFvUQfdNxsIK2oaFhny2XJ4vhD33oQ3zve9+z1zxz2BJZEB8P/BRAVV8VkSrgrcCpInIN8ALwz6o6ISInA8XAnxOYL2kEg0EGBgYYGBhgYmIifnzy46Xc3NyU29bTGGPmm6rS3t5OX18fAEuWLHF1z2tpaSnhcJju7m727t2Lx+OZ80YWTmhvb2diYgKfz0dxcfFBz92wYcMBk8IB/vCHP1gxbOYkkVXTS8CFIvJj4FSgFPgf4CFgN7AJ+LSIfAe4E7gM+NFMNyYi9UA9QE1NzcImd4HJIREDAwOMjo7Gj2dkZFBUVERhYeGCLQZvjDGpZnKHtIGBAUSEpUuXznnpr0QqLy8nEonQ29tLc3MzdXV15OTkOB3rkAKBQPxvvWTJkkMWtc3NzYd13JhDSWRB/D1gJfAc8DywHfiOqg4CiMhjwAeAm4CtqtpzsCeEqm4GNgOsXr1aZzwxic00JGLyo7CioiJbFcIYY+ZZJBJh7969DA0NISLU1taSm5vrdKxZEREqKysJh8MMDAzQ1NTEsmXLyM7OdjrajMLhMK2trUC0oM/MzDzkz0yurjHdcWPmIpGLzJ4CPKeq7wB+CDQCfxaRyUfveUSHTZwPrBORZ4GTgO+LiHtmLyRAMBiko6OD119/naamJoaGhlBVcnNzqa6uZtWqVSxZssTGBhtjjoiI+ERkt4ismnLsPhFZP+X79SLyQuzyIWeSJoaqMjQ0RGNjY3xi17Jly5KmGJ402cuan59PJBKhsbHxgNWG3KSzs5NQKERWVhalpaWz+pmNGzfi8/n2Oebz+di4ceNCRDQpIJE9xDuAO0TkJsAPXA0sBx4WkTHgVeD+WM8vALGieL2qdicwpyNsSIQxxgHxycsiUg5sIfpJ3v/GjpUA1wBvArKB14gOc1tUgsEg/f39DAwMxNdp93q91NXVubpn9WBEhOrqapqbmwkEAjQ2NrJs2TLXrbwwPDy8zxjt2XbyTK4vPLnKRE1NDRs3brR1h82cJawgVtUe4Jz9Du8BfnGQn1mzkJncIBKJ0NnZSV9fnw2JMMYkzDSTl/OAW4ELJs9R1V4ReVNssnMV0aUw5104HMbj8SS0rZvshOjv7ycYDMaPZ2Zmxjshkn1yssfjoaamhsbGRkZGRuJFsVs6VyKRSHyoRFlZ2WG/+Vi7dq0VwGbeJPezPcmNjo6yd+/e+EdZk6tE5Ofn25bJxpgFIyJp7Dd5WVV3AbtE5IKp58aK4X8CbgN+IiJeVQ1Pc5tznui8Z88eJiYmyM7Oxufz4fP5yM7Onvd2UFXx+/0MDAzsMy/D6/XGOyGysrIWVSeEx+OhtraWPXv2EAwGaWpq4uijj3bFa0xXVxfj4+NkZma6al1nk5qsIHbA/utaZmZmxscEG2NMAsxq8vIkVf22iHwXeILoPI+fTnPOnCY6qyoTExNMTEzg9/vx+/3x67KysuLFsc/nm/OmQtMNiYBoJ0RRURF5eXmuKBAXyuTwj927dxMMBtm7dy9Lly51tPAfHR2lp6cHiA6VWMx/f5McrCBOsMnGaPIjupKSEioqKqwxMMYk0vlARETW8ffJyxfsP19DRFYCX1PVDwAhIAj0zmcQEWHlypWMj48zMjLC6OgoIyMjBIPB+GWS1+uNF8eT/8609fzBhkQUFham3LyMtLQ0amtr2bVrF0NDQ3R2dlJZWelIlvHx8fgKESUlJdYZZFzBCuIEUVV6e3vp7OxEVUlPT2fJkiVJN3vZGJP8VPXMya8PNnlZVV8XkVdE5PdAGHhUVX8/33lEhMzMzPj4XYiOL50sjif/nZiYIBAIEAgE4j+bmZm5T5EcCoUOGBLh8XjiRXAqz8vIzMyMjynu6ekhIyPjkBtgzLdQKBQfIpOTk0NFRUVCf78xM7GCOAHGx8fZu3dvfFedwsJCqqqqZuzZMMaYRNl/8rKqfmW/778MfDmBkYBoEZuTkxPfVEJVCYVC8eJ4shd5bGyMsbGx+Na9U6XKkIjDkZuby1FHHUVbWxttbW1kZGQkrGMmHA7T2NhIKBQiOzubmpoau1+Ma1hBvIBUlf7+fjo6OohEIqSlpXHUUUclxW5HxhjjJiJCRkYGGRkZFBQUANFe5GAwuE+RPLU3OJWGRByO4uJixsfH6enpobm5maOPPpqsrKwF/Z1T10POzMyktrbWOoWMq1hBvEBCoRBtbW3xCSL5+fkcddRRSb+MjzHGuIXH44mvSlFSUuJ0nKRSUVHB+Pg4Q0NDNDU1ccwxxyzY61MkEqG5uZnR0VHS09Opq6uz10LjOvZZxQIYHBxk586d+P1+PB4P1dXVLF261BoAY4wxrjC5ccfkuOvm5mYikci8/x5VZe/evQQCgfhqF9Zzb9zICuJ5FA6HaWlpoaWlhXA4TE5ODitWrKCwsDBlJ3EYY4xxp8mNO9LT0xkZGaG1tTU+EXE+qCptbW3xbbDr6urIzMyct9s3Zj5Zl+U88fv9tLa2MjExgYhQWVlJcXGxFcLGGGNcKz09ndraWnbv3s3g4CAZGRnztvJDZ2cn/f39iAi1tbVJuw22SQ1WEB+hSCRCR0dHfC/27Oxsqqur7V2wMcaYpJCVlcXSpUtpamqiu7s7vlbzkeju7o5vvFFTUxNfLcQYt7KCeI5UlUAgQHt7O+Pj44gI5eXllJaWWq+wMcaYpJKXl0dVVRXt7e20traSnp4+5yK2r6+Pzs5OAKqrq8nLy5vPqMYsCCuI52B4eJjOzs74usJZWVlUV1cv+LI1xhhjzEIpKSlhbGyMvr6++HJsh/tp5+DgIG1tbQBUVVUdcU+zMYliBfFhGBkZobOzk+HhYSC6jWhpaSklJSW2uLgxxpikV1VVxfj4OIFAIL4c22zXCw4EAuzduxeA8vJyWwrPJBUriGchGAzS2dkZX1PY4/HEC2FbWNwYY8xiISIsXbqU3bt3MzY2RnNzM7W1tYfs9BkZGaG5uRlVpaSkhLKysgQlNmZ+WEF8EGNjY3R1dTE4OAhEG4qSkhJKS0ttTWFjjDGLktfrja88MTw8THt7O0cdddSM82OCwSBNTU1EIhEKCwuprKy0uTQm6VhVN43x8XG6uroYGBgAooVwcXExpaWltqC4McaYRS8jI4Oamhr27NlDf38/GRkZ0/b6jo+P09jYSDgcJi8vjyVLllgxbJJSwgpiEckA7geOAYaBG4BlwNeB5thptwLPA/8eOy8T+Kqq/iQRGUOhEN3d3fT398cXJy8qKqKsrIyMjIxERDDGGGNcwefzUV1dTUtLC52dnWRkZFBQUBC/PhQK0djYyMTEBDk5OSxdutSKYZO0EtlDfBUwpqpvF5E3AA3Aj4EvqOpDkyeJyMeBgKqeISKlwIvAghbEExMT9PT00NvbGy+ECwoKKC8vt/WEjTHGpKyCggLGx8fp7Oxk7969pKen4/P5CIfDNDU1MT4+TlZWFjU1NTa53CS1RBbExwM/BVDVV0WkCngrcKqIXAO8APwz8AjRQhlg/jdWnyIcDtPb20tPT098D/f8/HzKy8ttCTVjjDEGKC0tZXx8nP7+fpqbm1m2bBmtra0Eg0EyMjKoq6uzCeYm6SWyIH4JuFBEfgycCpQC/wM8BOwGNgGfVtVvAIhIHvAj4JbpbkxE6oF6iO6CczgikUi8EA6HwwDk5uZSUVFhW0saY4wxU4hIfDm24eFhdu7ciaqSnp5OXV2dTTI3i0IiP9/4HtAPPAdcDGwHvqOquzQ6TuEx4I0AIrIEeBr4gap+f7obU9XNqrpaVVcf7vIura2tdHZ2Eg6H8fl8LFu2jLq6OiuGjTHGmGl4PB5qamrIyMhAVfF6vdTV1dn8GrNoJPJt3SnAc6r6eRF5M/AG4M8icoaqNgPnAS/EhlL8HLhOVZ9eiCCTH/+Ul5eTm5trkwCMMcaYQ5gsgnt7eykqKrI5NmZRSWRBvAO4Q0RuAvzA1cBy4GERGQNeJboKxb8CJcCXRORLsZ99j6qOzleQ7Oxsjj76aCuEjTHGmMOQkZFBVVWV0zGMmXcJK4hVtQc4Z7/De4Bf7HfsuthlQVkxbIwxxhhjILFjiI0xxhhjjHEdK4iNMcYYY0xKs4LYGGNSlIj4RGS3iKyacuw+EVk/5fvrROQPIvKCiHzZmaTGGLOwrCA2xpjU9VWgEEBEykXkSeDcyStFpA5YB7wdeBvwHhE5MeEpjTFmgdlq2sYYk4JE5GSgGPhz7FAecCtwwZTTWoF3q2o49jMeYCKROY0xJhEWRUH84osv9ohI0xx+tBTome88c+SmLGB5DsXyzMxNWcD5PLUO/u5piUgacCdwGdEdQVHVXcAuEYkXxKoaArokuizPXcArqrp9htuM7x4KBETk9cOM5fT9tD/Lc3BuyuOmLGB5DsXJPDO2x4uiIFbVw9uqLkZEtqnq6vnOMxduygKW51Asz8zclAXcl8clbgK2qmrPoZagFJEMomvEjwKfmuk8Vd0MbJ5rILfdT5bn4NyUx01ZwPIcitvyTLIxxMYYk3rOB9aJyLPAScD3ReSAjgUR8QKPAa+qar2q2nAJY8yitCh6iI0xxsyeqp45+XWsKF6vqt3TnHoRcDaQLSLnx47drKq/W/iUxhiTOKleEM/5470F4KYsYHkOxfLMzE1ZwH15XEVV1+z3/VemfP0okJWgKG67nyzPwbkpj5uygOU5FLflAUBU1ekMxhhjjDHGOMbGEBtjjDHGmJRmBbExxhhjjElpVhAbY4wxxpiUZgWxMcYYY4xJaVYQz4IcauX6FGZ/G2NMolm7MzP72xgzN1YQT0NEjhWRM0XkNBFJU4eX4hCRKhFZJSL5se8dbfBE5BgROQ1AVdUFeTKd/P37E5FaETkp9q/Tf5tCEVk65XtHn/MiUi0ix0353um/j6seO2Z61iYfMo9r2mS3Pafc1B7H8libfPA8jj1+rCDej4hUAd8GPg58FFjjcJ6jiG6b+q/AlyHa4DmYR4APAneJyLsn84iII2tai4gP+KGInOXE799f7PGzGfgS8AXgWAezLAH+A2gQkTsBVDXiYJ404FrgSyJyciyPOvWC4LbHjpmetcmHzOOaNtltzyk3tcexPNYmHzyPo48fK4gP9FXgh6p6JbAbuMThPF8BfqKq7wWOFpEvi8jlIvIGJ8LEGv7dQB6wVkQ+H7vKkSe1qo4QbeTuEZEPxLaaddK/AA+q6iVACPiYg1n+P+DHsV3J3iAinxaRd8Ya5YSLbfvbApwIfFBEPhI7bo8dczDWJh+Em9pkFz6n3NQeg7XJh8rj6OPHCuIDhYGO2Nc/B3InrxCRWgfyBIHm2NfFwEnAacDFsUwJ+3hjyrvGXwEvEn2nWyki9wG3OJBHRKQM+B/gG8DVwKdj7zITTkTSgWxgb+zQT4GiKdeXJjCLF0gHdsUOlQPnA/XAuYnKMSXP5OPiZ0AT8Ffg+Fgx8Skn8rjpsWMOytrkGbipTXbbc8pN7XHs91mbfIg8Tj9+rCA+0FagL/Z1FlABICLfAN7uQJ4GYHtsXM2/qOoHgE1AlYgkaktV4O/vGlW1l+jfqAv4MXAB8K5Ev5vTqG7g+6r6feAG4N3ABhEpT2SWWJ4Q8AAwOuVwGYCI/F/g5ARmCQPfA9pEpAT4lqpeFDv2Rifuq9i/fyPa8D4DbAfWA2dDYgsJtz12zEFZmzwDN7XJbntOuak9juWxNvkQeZx+/Dgy7tNtROQUYAWQD7Sq6uOxq4aARhH5IlChqv/pQJ4OVf1D7PjTsVMuBNJUNZjAPMuJ9syMqupW4PdEe0SOIdro/CH2hE9EnhOAGkCAQVV9DkBVXxGRK4i+gH4MuDuBeWpjefpV9fexq4aA3SJyA7BEVf/bgSw7Y8d/GDvlJCDDgfsKIKKqTwGdRB87pwI/AX4BiRmH6bbHjpmetcmzyuOKNtltzyk3tccz5LE2efo8jj9+xOHJuo4TkdOBu4AniH6c8UFgp6p+IPau5DWiH0etTURjN0OeXap6sYj8E/AuIBO4WFVHZ76lBctzCfBn4JPAk8DvVfXmhc6xX57/AzwPFBAdb/SKql6z33lpsfFRic6zAnhVVa8RkROJvkg9AXx8oR8/M2T5q6p+RkSuA84DMoB/iI3VWlD75ckHVhL9e3wT+H/As6p6y0LnmCGP448dMz1rkw87j2NtstueU25qjw+Sx9rk6fM4/vhBVVP2AlTG7oizpxzLAn4NfB7wAt8CjndBnmtj35cCuQ7n+S1w837HJQF5qmK/++zY9+nAKqIvApclIsNh5PkA0RfJBuA4F2RJI9pzVOjw3+a/ib5wfzCVHzt2mfF+sjZ5bnkS3ia77TnlpvZ4lnmsTXbR40dVU37IRB3wO1X9FYCIZKhqUES+C7yX6GD3L6rqkAvyXCAiEWCrqgYczrMJeCcwIiJ/UNURjT2iF9hq4Deq+qvY2KYJVX1NRJ4j+k47TUQeS+Df52B53kf0hep6jY6LcjLLhUR7IR7XBPRCzCLPm4A/xB5P4yn62DHTq8Pa5LnkcaJNdttzyk3t8aHyWJvsvsdPyk+qCwEnS3RmI6o6Hhvs/jGiA+4HSew464PleSvQS7SHxA15ziA6gSORk0j8RN9RA3hVVUWkCDgFOCeWN5GLeh8sz5pYnkQtX3OwLGcDSnTGdaLMlOdkoi8GIaLLRDmdx6nHjpmetclzz5PoNtltzyk3tceHymNtsvsePylfELcA3cBZsXcoACNE74R7VfUHqto3408nNs8mVf1PF+W514E8PUCNiJylfx9PlEd0+ZpvqOpDGp1t7ZY8Dycwz6Gy/D+X/W3clifRjx0zPWuT554n0W2y255TbmqPZ5PHbW2g2/IkvE1OyUl1IuLR2HI1IvJ+4A7gR0TXKAwBZaq6zvK4I89+2f4R+DrRxfpDRJdgqlDVT6R6HjdlsTzmcLitzbE8s87lqueU5bE8R5QnlQpiETlaVXfHvk7X6DqFiMi7iE6MKAN2AD/TxCxXY3lmny1TVcdiX59OdLzcBNAK/EATvCqAm/K4KYtL82RrbPa/G/KYv3Nbm2N5Zp3Lbc9xy5NcedzZJmuCZ/E5dSG6DuCfgBOmHPMQ3fnoNMvjujyVRMcSHUt0fU+IjtV7BjgxlfO4KYtL85QDbyE6xjMndizdqTx2mfF+clubY3lmzuK257jlSa48SdEmp8QqEyKSDXyH6J3yduCV2FWfBP5XVX9neVyX59+JvmNsB24junXrlcCLqvqXKeeKxp5dqZDHTVlcnGcT0clXo0C+iHyB6NaoCc9jpufSNsfyzJzFbc9xy5NceZKiTU6VSXX3EV2M+zSiy9ZM+pWq/jNEx2hZHtfk+SKwQ1X/ARgAviTRvdXzVfWmqXkS9ORxUx43ZXFjni8T3TThH4FvAyVEF533OJTHTM9tbY7lmZnbnuOWJ7nyJE2bvOgLYhF5A9CuqvcSXebkAhG5GEBVd8TOEY1NWLA8zuaJeQXoFpECYBnRBbzLgJNEJEdEvCmcx01Z3JinkegsfFT1VeBp4H+JLdXlQB6zH7e1OZbnkNz2HLc8yZWnkSRpkxf1pDoRySW6V/fIlGPvJ7om4V2q2mZ5XJfHF/t2E9FlWU5T1RNFJI3ou8qvJiqXm/K4KYuL82QRXbbn18D3iU42+gTwL8AFwOc1AVvrmpm5tM2xPDNncdtz3PIkV56kapMXbQ+xiPwDsAX4jYh8U0RWxK76M9E76ELL47o8DwBPEd2N6lbgbuDV2CmfAMoT+GR2TR43ZXF5nl8Al8Z+fx7Rxvia2Gk5bmp4U5FL2xzLM3MWNz7HLU9y5UmuNlldMLNvvi9EPyL4DdGPC3zAj4E/AEfHrn8X8CzgszyuzPMT4HfACuBnwGNEP2apTLU8bsqSJHl+Cvw30R2Qjga+BDwPHJWIPHaZ9f3ktjbH8sycxW3PccuTXHmSpk12PMAC3SHHEl3OY7IxKSbaZf8w0YHlAJmWx9V5fgvcF/u+AshLxTxuypJEeX4D/CfRZX2WEN20ICF57HJY95Pb2hzLM3MWtz3HLU9y5UmKNnlRjiEWkRzg6ti3rxFd/66f6DuXx1X197FJCQn5z1ueOedZCjysqn9MRA435nFTliTLswR4JNF5zPSSqM1J+TxJ9By3PMmVx/Vt8qJah1hEbib6Rx8ECokuan4ukKGqt4vIVqKzLUlQw2J5jjxP5ULncGMeN2WxPGaukrTNSck8bntOWR7Lk2iLZlKdiHwWOBloAF4GlgPFqno98KSINADDqvoTy2N53JzHTVksj5krt91Plic5slgey+OUxdRDnE90zMzvRORV4EzgRBH5APAc4FXVxyyP5UmCPG7KYnnMXLntfrI8yZHF8lgeRyR9D7GIVMe+bAM2ikgpME60y/6vRAd2dyfqzrA8lmcxZLE8Zq7cdj9ZnuTIYnksj9MWQw/xP0t0R5aPE53N+BTRO+Jpou9MviIiearqtzyWx+V53JTF8pi5ctv9ZHmSI4vlsTyOSvoeYiBEdBbjz4juhHIy8G9AB9FlPv4rwXeG5bE8iyGL5TFz5bb7yfIkRxbLY3kcldQFsUS3I/QDlwFbgUeAi4i+Q/EB/0dVH7U8lsftedyUxfKYuXLb/WR5kiOL5bE8rqAuWAz5SC5AJrEdT4D3El0A+nOWx/IkWx43ZbE8dlks95PlSY4slsfyOH1J+jHEqjpGdEA3qvqkiHQT3Tvb8liepMrjpiyWx8yV2+4ny5McWSyP5XHaotypzhhjjDHGmNlK6jHExhhjjDHGHCkriI0xxhhjTEqzgtgYY4wxxqQ0K4iNMcYYY0xKs4LYGGOMMcakNCuIjTHGGGNMSrOC2BhjjDHGpDQriI0xxhhjTEqzgtgYY4wxxqQ0K4iNMcYYY0xKs4LYGGOMMcaktDSnA8yH0tJSraurczqGMcYc4MUXX+xR1TKncySStcnGGDc6WHu8KAriuro6tm3b5nQMY4w5gIg0OZ0h0axNNsa40cHaYxsyYYwxxhhjUlpCC2IR8YnIbhFZJSIPi8izsctuEXk0ds65IvJbEXlRRO4VEUlkRmOMMcYYk1oSPWTiq0AhgKpeCiAi+cCvgBtEJBu4G1ijqgMicgtQBnQlOKcxxhhjjEkRCSuIReRkoBj4835X3QZsUdVGEVkD/A34pojUAver6pyK4VAoxN69ewkGg0cSO6llZWVRXV1Nenq601GMMcYYkwBW/8yt/klIQSwiacCdwGXAj6YcLwMuAN4QO1QFnA28GegHnhOR36vq69PcZj1QD1BTU3PA79y7dy95eXnU1dWRiqMuVJXe3l727t3LsmXLnI5jTNJqaGhgw4YNNDc3U1NTw8aNG1m7dq3TsYwxZlpW/8yt/knUGOKbgK2q2rPf8UuAx1Q1FPs+CLygqntVdZjoUIo3TneDqrpZVVer6uqysgNX0AgGg5SUlKTkgwFARCgpKUnpd4jGHKmGhgbq6+tpampCVWlqaqK+vp6Ghganoy0qgUCAsbExVNXpKMYkPat/5lb/JKogPh9YJyLPAicB34/1Dr8beHLKeS8AbxaRoliv8tuBv8z1l6bqg2FSqv//jTlSGzZsYGRkZJ9jIyMjbNiwwaFEi4+q0trayo4dO/jb3/5GW1sbfr+fSCTidDRjklaqv/7P5f+fkCETqnrm5Nexoni9qnaLyNHA9inntYrIjcDPgTDwkKq+loiMxhizv+bm5sM6bg6fquLz+QgEAoRCIfr6+ujr60NEyMnJIS8vj7y8PDIyMpyOaoxZxBK+MYeqrpny9QHDIVS1AUjpzyMrKyvp6OhwOoYxKa+mpoampgPXcZ9u3oKZG4/Hw9KlS1FVRkdH8fv9+P1+gsEggUCAQCBAe3s7mZmZ5ObmkpeXh8/nw+OxZfSNWWycrH8WxU51xhizEG688UY+85nP7HPM5/OxceNGhxItXiKCz+fD5/NRUVFBKBQiEAjg9/vjY4zHxsbo7e3F4/GQm5sbL5BtJR1jzJFKiYL4lVdeWZDbPeGEEw56/ZYtW9i6dSuRSIQ1a9bw5JNPkpaWxsknn8y//du/0dLSwpVXXkkwGKS3t5dbb72Vyy67bEGyGmMO3/DwMADZ2dkEg0FbZSKB0tPTKSoqoqioCFVlZGQk3ns8NjbG0NAQQ0NDQHSJpcmhFdnZ2Sk/ftKYSVb/zF5KFMROysvL44EHHuD000/nhRdeIDc3l+uuu47HH3+cjIwMbr/9dk477TSee+457rzzTscfEMaYv7v++uupq6ujrq6OU045xek4KWtyPHFOTg6VlZWMj4/v03scDAYJBoN0d3eTmZlJbW2tjTk2xmHJVv+kREF8qHcyC2nlypXs3LmT7u5uLrzwQiC6xNAxxxzDeeedxx133MG3v/1tRCTeG2WMcYeMjAw+9KEPOR3D7CcjI4Pi4mKKi4uJRCIMDw8TCAQYGhpibGyMPXv2UFdXR2ZmptNRjXGU1T+zZ7MSFpiIsGzZMmpqavjFL37Bs88+yw033MDpp5/OzTffzLp163jwwQc577zzbA1OY1xk/+XWjDt5PB7y8vKoqqpi+fLlZGdnEwqF2LNnj63DboyDkq3+sYI4AUpLS/nc5z7HmjVrOPXUU3n00UdZuXIlH/nIR/jsZz/LRRddRGtrK11dc9ql2hgzz/bs2UN5eTlXX321KxpqMzter5fyrAH7AAAgAElEQVS6ujpycnKYmJhgz549jI6OOh3LmJSVTPWPLIbGfvXq1bpt27Z9jm3fvp3jjjvOoUTuYX8HYw7fF7/4Rb72ta9xxRVXsHXr1iO6LRF5UVVXz1O0pDBdm5xIkUiE5uZmAoEAHo+Huro6fD6fY3mMSSR73Y+a7u9wsPbYeoiNMWaK8fFx7r//fgCuvvpqh9OYufB4PNTU1JCfn08kEqGxsdEVYxSNMe5lBbExxkzx6KOP0tXVxYknnshpp53mdBwzR5MbfhQUFMSLYr/f73QsY4xLWUFsjDFTbNq0CYD169fberZJTkSorq6Or2Xc3NwcX7vYGGOmsoLYGGNitm/fzrPPPktOTg5XXHGF03HMPBARjjrqKIqLi+NF8eDgoNOxjDEuYwWxMcbEPP300wCsXbuW/Px8h9OY+SIiVFVVUVpaCkBLSwv9/f0OpzLGuElKbMxhjDGzcc0113DeeefZhg77EZEM4H7gGGAYuEFVF2ZP2AUiIlRUVODxeOjq6qK1tZVIJEJJSYnT0YwxLmA9xDENDQ3U1dXFl+hpaGhwOhIAV1xxBc8++yxPPfUUmzdvnvG8b33rWwlMZczitWrVKpYtW+Z0DLe5ChhT1bcD1wMPOpxnTkSE8vJyKisrAWhvb6enp8fhVMY4y+qfKCuIiT4Y6uvraWpqQlVpamqivr7eNQ8KgPPPP5/6+voZr7/jjjsSmMaYxecvf/mLbcIxs+OBnwKo6qtAlYgUOhtp7kpLS6mqqgKgo6ODrq4uu+9NSrL65+9SpiAWkRkv11577QHbtI6MjHDFFVcccO7h2LJlCxdffDHnnHMOq1ev5oknnuCEE07g8ssv5+Mf/zgDAwN84AMf4KyzzuKMM87gxRdfBGDz5s2sXr2ad7/73bz++uvx2/rCF74AwG233cY73vEO3vKWt7B582Y2btxIX18fn/70p+fhL2VM6vnTn/7EG9/4RtdsIepCLwEXStTbgFIge+oJIlIvIttEZFt3d7cjIQ9HSUkJS5YsAaCrq4vOzk67782iZPXP7NgYYqCvr2/BbjsYDPL000/T19fHKaecQigU4qabbuKkk07iC1/4AmeffTbXXHMN7e3tXHzxxfzkJz/hnnvu4eWXX8br9bJ69b4bqmzbto2f/exnPPfcc4TDYW6++WbuvvtuvvnNb/Kd73xnwf4fxixm9913HwAnnHCCLbU2ve8BK4HngOeB7cA+e62q6mZgM0R3qkt0wLkoKirC4/HQ0tJCT08PkUiEqqoqewyYlGH1z9+lTEF8sHf+dXV1NDU1HXC8traWxsbGI/q955xzDiJCSUkJRUVFbN++nZUrVwLRj2ifeeYZHnnkEQD6+/vZvXs3q1atIisrC+CAjQF27tzJqaeeitfrxev1cs899xxRPmNS3dDQUPzjwfXr1zucxrVOAZ5T1c+LyJuBN6hq2OlQ86GgoAARoaWlhb6+PiKRCEuWLLGi2CwaVv/MTsoMmTiYjRs3HrDPvc/nY+PGjUd823/84x8B6O7uJhAIUFpaGm9oV61axfXXX8+zzz7Lww8/zLp161ixYgV//etf8fv9hMPh+McIk44//ni2bdtGJBJhYmKC888/n7GxMfuoz5g5evDBBxkeHmbNmjWsWrXK6ThutQO4VkSeB74GXONwnnmVn59PbW0tIsLAwAB79+61NtWkBKt//s4KYqJrjm7evDneINbW1rJ582bWrl17xLfd0tLCOeecw0UXXcSmTZv26XXYsGEDjzzyCGvWrOFd73oXK1eupLi4mNtuu42zzjqL9773veTm5u5ze2984xt5z3vew+mnn84ZZ5zBJZdcQmZmJscddxwf+9jHjjivMalEVbn33nsBuPrqqx1O416q2qOq56jq6ap6vqrucTrTfMvNzY3PtB8cHGTXrl20t7czODhIKBRyOp4xC8Lqn7+TRL4LFhEf8ArwXuCrQFnsqhrgZVW9eMq5DwG/VNVNh7rd1atX67Zt2/Y5tn37do477rj5ij4nW7Zs4bXXXuPOO+90LIMb/g7GuNXzzz/PO97xDsrLy2lpaSEjI2Pef4eIvKiqqw995uIxXZucLEZGRmhqaiIc3ndESHp6Oj6fj+zsbHw+H1lZWXg81qdk3McNr/turX8O1h4negzxV4FCAFW9FEBE8oFfATdMniQi7wPOAX6Z4HzGmBTS2NhIYWEhV1555YIUwyb5+Hw+jj32WEZGRuKX0dFRQqEQg4OD8W2fRSReHE8Wyunp6Q6nN8bMVcIKYhE5GSgG/rzfVbcBW1S1MXZePtHi+LuJyrZQ1q1b53QEY8xBrF27losvvpjx8XGnoxgX8Xq95OXlkZeXB0SH1oyNje1TJI+Pj8e/njTZizx5ycrKssl5JiUlY/2TkIJYRNKAO4HLgB9NOV4GXAC8YcrpXwPuAM48xG3WA/UANTU1056jqindGNmkEGMObbJ4MWYmIkJWVhZZWVkUFxcDMDExwejo6CF7kXNzcyksLCQvL8+GWJiEsfrn8OufRPUQ3wRsVdWe/e6gS4DHVDUEICKnA9mq+ksROWhBfKg1L7Oysujt7aWkpCQlHxSqSm9vb3z5EmPM30UiEX7wgx9w8cUXk5OT43Qck4TS0tIO6EUOBoP7FMnj4+P4/X78fj9er5fCwkIKCwvJzs4+xK0bM3dW/8yt/klUQXw+EBGRdcBJwPdF5ALg3cDXp5z3fuB4EXkWqAPGRWSXqv7icH9hdXU1e/fuJRl2TFooWVlZVFdXOx3DGNd55pln+OhHP8qJJ57Iyy+/nJIvGmZ+TY4pzs7OjvciT/YY9/f3MzY2Rm9vb/yFuqioiIKCAtLSUmY7AJMgVv/Mrf5JyDNRVeO9vbFid72qdovI0UR3PJo876Yp530F6JhLMQzRsVzLli2bc2ZjzOI1udTaZZddZsWwWTDp6emUlpZSUlJCMBikv7+fgYEBgsEg7e3tdHR0kJeXR1FREbm5ufZYNPPC6p+5SfhbU1VdM+XrNx7kvK8kIo8xJrW0trby+OOPk5aWxic+8Qmn45gUMLX3uLKyEr/fT39/P4FAgKGhIYaGhkhLS6OwsJCioiIyMzOdjmxMyrHPaowxKeX+++8nHA5zySWXUFVV5XQck2I8Hg8FBQUUFBQQCoXivcbj4+P09PTQ09ODz+ejsLCQgoICvF6v05GNSQlWEBtjUsbExASbN28GbGc647z09HTKy8spKytjZGSE/v5+hoaG4pPy2tvbKSgooLCwkJycHBtSYcwCsoLYGJMyfvrTn9La2sqxxx7L2Wef7XQcY4DokIqcnBxycnIIh8MMDQ3R39/PyMgIAwMDDAwMkJ2dTVVVlS0RaMwCsYLYGJMyfD4fp5xyik2mM67l9XopKiqiqKiIsbExBgYG6O/vZ3R0lN27d1NUVERFRYWtTmHMPLNnlDEmZZx33nmcd955hMNhp6MYc0iZmZlUVFRQWlpKd3c3PT098WEVFRUVFBUV2Rs7Y+aJbZtjjEk5NlHJJBOv10tlZSXLly+PD6toa2tj9+7djI6OOh3PmEXBCmJjzKI3NjbG5z//eV555RWnoxgzZ1lZWdTV1bF06VLS0tIYHR1l165dtLW1MTEx4XQ8Y5KaFcTGmEXvv/7rv7jnnnu44oor5rTHvTFuISIUFBSwYsUKSktLAejr62PHjh309fXZ49uYObKC2Biz6G3atAmA9evX25hLsyjYMApj5pcVxMaYRe3VV1/lN7/5Dbm5uaxdu9bpOMbMq8lhFNXV1QcMo7DJo8bMnq0yYYxZ1O677z4A1q5dS15ensNpjJl/IkJhYSF5eXl0dXXR29tLX18fg4ODVFZWUlhYaJ+MGHMI1kNsjFmUGhoaqKmp4Zvf/CYAtbW1DicyZmF5vV6qqqpYvnw5Pp+PcDhMa2urDaMwZhasIDbGLDoNDQ3U19fT0tISP3bHHXfQ0NDgYCpjEiMrK4tly5ZNO4wiFAo5Hc8YV7KC2Biz6GzYsIGRkZF9jo2MjLBhwwaHEhmTWJPDKFasWEFJSQkQXY3i9ddfp7Gxkf7+fhtjbMwUNobYGLPoNDc3H9ZxYxaryWEURUVFdHZ24vf7CQQCBAIB2trayM/Pp7CwkNzcXBtnbFKaFcTGmEWnsrKS9vb2A47X1NQ4kMYY52VlZVFbW8vExARDQ0MMDAwwMjLC4OAgg4ODeL1eCgoKKCwsJDs724pjk3KsIDbGLCrd3d0MDw8jIvtsUuDz+di4caODyYxxXlpaGsXFxRQXFzM+Ps7AwACDg4OMjY3R19dHX18f6enpFBYWUlhYSGZmptORjUkIK4iNMYuGqnLVVVcxNDTEcccdx/DwMC0tLdTU1LBx40Zbh9iYKTIyMigvL6esrIxgMBgvjkOhEN3d3XR3d5OVlUVhYSEFBQWkp6c7HdmYBWMFsTFm0bj//vt57LHHKCgo4KmnnrIhEsbMgoiQnZ1NdnY2lZWVDA8PMzAwwNDQEMFgkI6ODjo6OsjJyaGwsJD8/Hy8Xq/TsY2ZV1YQG2MWhR07dnDdddcB8J3vfMeKYWPmQETIzc0lNzeXSCSC3+9nYGCAQCDA8PAww8PDtLW1kZubS35+Pnl5eaSlWSlhkp89io0xSS8UCnHFFVcwMjLCRz7yES6//HKnIxmT9DweDwUFBRQUFBwwGc/v9+P3+wHIyckhLy+P/Px8MjIyHE5tzNwktCAWER/wCvBe4KtAWeyqGuBlVb1YRK4DLgcEeEJVb09kRmNM8nnooYd44YUXWLp0Kd/+9redjmPMojN1Ml4oFGJoaIihoaF4r/Hw8DAdHR1kZWXFi+OsrCxbrcIkjUT3EH8VKARQ1UsBRCQf+BVwg4jUAeuA1YACz4vIo6r6lwTnNMYkkcsvv5zh4WGOPfZYioqKnI5jzKKWnp5OSUkJJSUlhMNh/H4/Q0NDBAIBgsEgwWCQ7u5u0tPT48MqcnJyrDg2rpawglhETgaKgT/vd9VtwBZVbRSRdODdqhqO/YwHmEhURmNMchIR6uvrnY5hTMrxer3xJdoikQjDw8MMDQ3h9/sJhUL09vbS29uL1+uN9xzn5ubi8dhGucZdElIQi0gacCdwGfCjKcfLgAuANwCoagjokujbyLuAV1R1+wy3WQ/Ugy22b0yquvvuu3n/+9/PihUrnI6yqMU6J74LrAI8wNWq+pKzqYzbeDwe8vLyyMvLQ1UZHR2ND62YXPN4YGAgPnFvsji25dyMGyTqLdpNwFZV7dnv+CXAY7FCGAARyQC+D+QDn5rpBlV1s6quVtXVZWVlM51mjFmkHnvsMW688Ube9ra3xSf3mAXzLiBfVU8HbgVshxNzUCKCz+ejsrKSFStWsHz5cioqKsjOzkZV8fv9tLa28vrrr7Nr1y46OzsZGRnZZzMdYxIpUUMmzgciIrIOOAn4vohcALwb+PrkSSLiBR4Dfq2qdyYomzEmyXR0dPDJT34SgFtuuYW8vDyHEy1640BOrKc4j+jkaGNmRUTIysoiKyuLsrIyQqFQfNzx8PAwo6OjjI6O0t3djdfrJTc3l7y8PHJzc21JN5MwCXmkqeqZk1+LyLPAelXtFpGjgalDIi4CzgayReT82LGbVfV3ichpjHE/VeXKK6+kp6eHc889l2uvvdbpSKngOeB24DWgBPjs/ifYMDYzW+np6fEVKybHHU8u4xYKhRgcHGRwcBCIbrk+WSDbqhVmISX8rZeqrpny9Rv3u+5RICvRmYwxyWPTpk08+eSTFBUVsWXLFpuckxg3Af+jqjeJyFLghdgKQEOTJ6jqZmAzwOrVq+1zbzMr+487HhsbIxAI4Pf7GR4eZmRkhJGREbq6ukhLS4ufm5OTY7vlmXlln0UYY5LGa6+9xuc+9zkA7rvvPpYsWeJwopSRA3TEvu4FBoEx5+KYxWjq0IrS0lLC4TCBQCBeIE9MTNDf309/f398jPJkcZyeno7X67UeZDNnVhAbY5LGyy+/TCQS4WMf+xiXXnqp03FSyV3AAyLyfqKvGzepqhXEZkF5vd74TnmqSjAYxO/3EwgEGBkZ4aGHHuLrX/86HR0dVFZWct111/G+970Pr9eL1+vF4/HEv57NxYrp1GYFsTEmaVx22WWccMIJVFdXOx0lpahqP/APTucwqUtEyM7OJjs7m/LycrZu3cptt93G6OgoAO3t7XzlK18B4IILLiAUCh3k1qaXnp7OUUcdZZN0U5QshiVOVq9erdu2bXM6hjFmgUQikaQdKywiL6rqaqdzJJK1yWah1dXV0dTUdMDxmpoaduzYQTgcnvUlEokQDofjt1FWVkZ5ebn1GC9CB2uPrYfYGONqQ0NDnHnmmdx4441cfvnl9iJljKG5uXna4y0tLWRkZBz27akqPT09dHZ20t3dzfDwMEuXLrVNQ1JIcna5GGNSxrXXXsvLL7/Mv/7rv+7Ti2OMSV0zLe2nqtx8882MjIwc1u2JCGVlZdTV1ZGWlsbIyAg7d+4kEAjMR1yTBKwgNsa41sMPP8x//Md/kJ2dTUNDgy3Sb4wBYOPGjfh8vn2OTbYPd955J8cffzxPPPHEYd9ubm4uy5cvJycnh3A4TGNjI11dXbaDXgqwgtgY4yoNDQ3U1dXh8Xj48Ic/DMDdd9/NqlWrHE5mjHGLtWvXsnnzZmpraxERamtr2bJlC7/73e846aSTaGpq4qqrrmJ4ePiwbzstLY26ujrKysoA6OrqoqmpiYmJifn+bxgXse4WY4xrNDQ0UF9fH/+4U1XxeDwUFBQ4nMwY4zZr165l7dq1Bxz/4x//yLe+9S2qq6vJyckBYGxsDI/HM+sxwSJCRUUFPp+PvXv3EggE2LlzJ0uXLo3fpllcrIfYGOMaGzZsOGDsXyQSYcOGDQ4lMsYkm7S0NK6//nouueSS+LE77riDt7zlLTz//POHdVt5eXksX74cn8/HxMQEe/bsobu724ZQLEJWEBtjXGOmmeMzHTfGmEMJhUI88sgjvPLKK7zjHe/gk5/8JL29vbP++fT0dJYtW0ZpaSkAnZ2dNDc32xCKRcYKYmOMa8w0c3ym48YYcyjp6em8+OKL3HLLLaSnp3P//fezcuVKHnjgASKRyKxuQ0SorKykpqYGr9eL3+9n165dh72ahXEvK4iNMa5x4403HjBz3OfzsXHjRocSGWMWg+zsbG6//Xb+8pe/8M53vpPe3l4+8YlPcNZZZ/Hv//7v8Ym8dXV1NDQ0zHg7+fn5HHPMMWRnZxMKhdizZw+9vb02hGIRsILYGOMKbW1tbNiwgTe/+c3U1NTEZ45v3rx52okzxhhzuFauXMnTTz9NQ0MD5eXlDA4Oct1119HU1ISq0tTURH19/UGL4oyMDJYtW0ZJSQmqSnt7Oy0tLbZOepKzgtgY4zhV5dOf/jSDg4MUFRXR2NhIJBKhsbHRimFjzLwSES6//HJef/11+vr6Dhj2MDIycsiJvB6Ph6qqKpYuXYrH42FoaIhdu3YxOjq6kNHNArKC2BjjuB/96Ec89thj5OXlce+999r2zMaYBVdYWEhbW9u01812Im9BQQHHHHMMWVlZjI+Ps3v3bvr6+uYzpkkQK4iNMY7q7e3lM5/5DAB33XUX1dXVDicyxqSKg20B/b73vY/t27cf8jYyMzM5+uijKSoqQlVpa2tjYGBgvqOaBWYFsTHGUTfccANdXV2sWbOGq666yuk4xpgUMt0W0Onp6WRmZvLEE09w4oknsn79erq7uw96Ox6PhyVLllBZWQlE50SMjY0tWG4z/6wgNsY45uc//zlbt24lKyuL7373u3g81iQZYxJnui2gH3jgAZqamli/fj0AW7duJRQKzer2SkpKyM/PJxKJ0NLSMutl3YzzbOtmY4xjTj31VD71qU+xYsUKli9f7nQcY0wKmmkL6HvvvZfrrruOl156iaOOOgqAiYkJHn74YS699FLS0g4soUSEJUuWEAwGCQaDdHR0xH/WuFtCu2NExCciu0VklYg8LCLPxi67ReTR2DnvEpHficjzIvKpROYzxiRWQUEBmzZt4rOf/azTUYwx5gCrVq3iwx/+cPz7LVu2cPnll3PSSSfx5JNPTrv+sNfrZenSpYgIfX19DA4OJjKymaNEfz75VaAQQFUvVdU1wEVAP3CDiKQBXwcuBNYA60WkPMEZjTELbMeOHfssdbSQq0rYgvnGmPlSXl5OXV0dr776KhdccAHnnnsuf/rTnw44Lzs7Oz6euLW11cYTJ4FZFcQicuaR/iIRORkoBv6831W3AVtUtRE4Btirqr2qGgJ+DbztSH+3McY9RkdHufDCC3nTm97Ezp07F+R3qCp+v5+dO3fy17/+lcbGRnp6euxFyRhzRC666CJee+017rnnHoqKivjlL3/JW9/6Vj760Y/yjW98Y58d75566ikbT5xEZttD/ISIvCgiHxWR9MP9JbGe3zuBG/c7XgZcAGyKHSoBpq5VEogdm+4260Vkm4hsO9TsT2OMe9x+++387W9/IyMjg6VLl8777Y+MjNDY2EhTUxPBYBBVJRAI0NHRwY4dO/jb3/5Ge3s7fr/fXqCMMYctMzOTz372s+zcuZPPfe5zZGRk8OCDD3LjjTcesOPdr3/9a9LT0+PjiY17zbYgXgJsAW4GmkTky7FidrZuAraqas9+xy8BHov1BkN06ETelOsLgd7pblBVN6vqalVdXVZ2OFGMMU7505/+xF133YWIcP/995OZmTlvtz02NkZzczO7d+9meHgYr9dLRUUFxx57LNXV1RQUFOD1ehkfH6e3t5empia2b99OU1MTvb29jI+Pz1sWY8ziV1xczN13381rr71GXl7eAW3IyMgIt9xyS3wrehtP7G6zWmVCVf3AN4Fvisg5wGeA3SLyEPB/VfUvh7iJ84GIiKwDTgK+LyIXAO8mOmZ40g6gVkQKgRHgTKLjjo0xSS4UCnHllVcSDoe5/vrredvb5mc0VCgUoquri/7+fiA6HrmkpISysjK8Xi8AGRkZFBYWoqqMjo7i9/vx+/0Eg8H41+3t7WRmZpKXl0dubi45OTlJvWOeiDQBfwS2AS8C21S139lUxiw+y5YtIxAITHtdc3NzfDxxe3s7ra2tZGdnk5GRkeCU5lBmVRDHJrYVER0DnAk8AuwC6oF1gPdgP6+q8THIIvIssF5Vu0XkaGD7lPMmRORzwJNEe6+/raqdh/H/Mca41F133cVLL71EXV0dd9xxxxHfXjgcpru7m97e3vjEuaKiIsrLy0lPn35kl4jg8/nw+XxUVFQQCoUIBAL4/X4CgQBjY2OMjY3R09ODx+MhNzc3XiDPdJsu9h/AauAGoAzQWJH8PPBDVf2pk+GMWUxqampoamo64Hhubi4TExMUFxczPDzM0NAQLS0tLFu2zNZddxmZzQxsEYkQHbrQAgzFLoOT/6rqFxcy5KGsXr1at23b5mQEY8xBtLS0sHz5csbHx/nFL37BueeeO+fbikQi9PX10d3dTTgcBiA/P5+KioojGoIRiUQYGRmJF8j7T8DLysqiurqarKysw7pdEXlRVVfPOdg8EJEaosXxW4HzYv8+DlyqqhPz/fusTTappqGhgfr6+n1Wz5l0zjnn8NBDD1FQUMDOnTsJhUKUlJRQVVXlQNLUdrD2eLYbczwAfBB4Cfi3WQyRMMaYuOrqarZu3cq2bdvmXAyrKgMDA3R1dcV3jfL5fFRWVh6w9epcTPYI5+bmUllZyfj4eLznOBAIEAwGk7GXGABVbQaagf8CNojIKbGvPwV828lsxiwGkxt7bNiwgebmZmpqali3bh333nsvzzzzDKeeeiqPP/44tbW17Nmzh97eXnJycsjPz3c4uZk0qx5iiK8I8U/AeuAvwD2q+tQCZps1640wZvGaXEKts7Mz3mublZVFRUUFubm5CRnnG4lECAaDcyq83dBDPB0R+UfgM6r61vm+bWuTjYlqbm7m/e9/Py+99BLFxcXs2rWLiYkJOjo68Hg8LF++3MYTJ9DB2uNZD2BR1W5V/QpQC/wQuEtE/ioiV81PTGPMYtPS0sIrr7wy558fHh5mz549NDc3MzY2Rnp6OtXV1RxzzDHk5eUlbNKbx+OZl15ol9lGdO13Y8wCqamp4be//S0f/OAHufXWWyksLKSkpIS8vDxbn9hlZjup7vNAbuySF/u3ETiL6BrC312gfMaYJKWq1NfX88wzz/CDH/yASy655JA/E4lEGB8fZ2xsjIGBAfx+PxDdCrW8vJyioiKbiDJLsQnKfwT+pKrTTYGvAGynEmMWWE5ODg8//HD8exGht7eX9PR0RkdH6ezstPHELnDIglhEvEQ31HiR6KYZ/USL4X7gsdi/xhizjwcffJCnnnqKoqIizjjjjH2uC4fD8RUdpl72X8fT4/FQUlJCaWlpfAk1M2s3E10ZKCIiO4j2CG8DXgGygY1EdwM1xiywqZ9m7dixg3POOYeVK1dy5513Ath4Yhc4ZEGsqmERyQf+SVX3JCCTMSbJdXZ2cv311wNw5513kpaWRltbW7zwnZiYeWGDjIwMMjMz///27j0+rqre+/jnN8nk2twvpG2atBR6ngMiIK0cQBBFOFjkUBDlhZFy8TECIvB4A4kHQYkoPigi3qoitAR4FLTcC1gvcBCQokcsWHo7Tdq0SdpcmqQzuc7v+WPPDGmbNL0ks9dkfu/Xa16d7EySb/fsWfObtddei6ysLEpKSkhP399rf81IqloqItV4M0rEbl/lndU//8keq4caYyZfOBwmLy+PV199lZqaGu666y4bT+yA/X2n+TMwD7CC2Bgzptgcvp/+9Kfp6OjglFNO4aSTTmLbtm27PU5EyMzM3OuWkZFhQyImkKo2Ao14M0oAICIzgAxV3eRXLmNS2bvf/W5ee+01zj//fF5++WUWL17MbbfdxqJFi2x+Yh/tb0G8BPimiKy1XmJjzGjuv/9+brrpJrZu3QpAMBjklhD7MCMAACAASURBVFtuIScnJ97jGyt8g8FgUq8Cl8xUdeuB/oyIfAq4JPplBt6cxjNVdftEZjMmVRx22GH84Q9/4Morr+S+++7ji1/8Ihs2bKCuro6ZM2f6HS8l7e/HkIeA44HVIvJrEblGRE4WkSl32bUx5sAtW7aMK6+8Ml4Mx7S2tjJ37lwqKyspLS0lLy+PjIwMK4aTjKr+QlVPV9XTgVeAL1oxbMyhyczM5N577+XOO+8kEAjws5/9jFdffZXu7m6/o6Wk/S2IZwEfwbsIIwJ8DngB2Ckib01SNmOM4yKRCK+99hrXX389fX19u31vcHCQuro6n5KZySAixwPvA37gdxZjpgIR4fOf/zxPPvkkd955J/PmzeOnP/0p1dXVBAIBZs+eTUNDg98xU8J+DZlQ1WagGXg6ti3aO3ws8O7JiWaMcVFTUxPPP/88zz33HCtXrqS9vX2fjzVTSh1wi46yopOI1AK14M29aozZfx/+8Ic5++yz+f73v8/NN98c72BobGyktrYWeGc1PDM59nulOpfZqkjGTL7f//73XHXVVaxdu3a37dOnT6erq4twOLzXz1RXV7Np06YEJXSTqyvVHajobEOrgTmqOryvx1qbbMzBqa6uHrUjYSq0pZFIhJ6eHlSVjIwMMjIySEtLS+gQun21xzafkTEprqGhgbq6OpqamqiqquIb3/gGc+fO5fnnn6eqqorLL78cgNLSUtauXUteXh4f+MAHOOWUUzjqqKOorq7mL3/5C9deey2hUCj+e3Nycqivr/frv2Um3geBP4xXDBtjDt7mzZtH3d7U1EQ4HCYrKyvprsFQVbq6umhra2NwcHC37wUCATIyMggGg/EiOXYLBoMJnXHDCmJjUlhDQwO1tbXxQraxsZHFixfHv/9v//Zv8YL4mGOO4aWXXmLBggWEw+F4L8bMmTM55phjyMrK2q2wrq+vt1N8U8vheHMXG2MmSVVVFY2NjXttLy0tZcOGDaSnpzNt2jTy8vKYNm2a0wsWqSo7d+6kra0tvuhSbKahgYEBBgYGiEQi9PX17XUNSkysUB6tYJ7o3mUriI1JYXV1dbv16sakp6fzmc98hrPPPju+TUQ4+eSTCYVC8V6MsrIyioqKAG98mxXAU5eqftfvDMZMdfX19bt1UsT09/fT0tJCRUUFXV1ddHV1Ad4Kd7ECOTMz04neY1Wlu7ubtrY2+vu91eEzMjIoKyujsLAwnlFVGR4eZnBwMF4gj7wNDg7Gb6PJzc1lzpw5E5bbCmJjUthYF70NDw9zzz337LV9YGCAxsZGVJXCwkLKy8snO6IxxqSMWKdC7GxbZWUlubm5rFmzhmuuuYbXXnuNvr4+enp6CIVC7Nq1i127dtHa2kowGIz3HE+bNi3hC3yoKj09PbS1tcV7fIPBYLzjZM9iXURIT08nPT2d7OzsUX/fyOJ4z4J5olcxtYLYmBQ21um50WYJGBoaYtOmTQwPD5Obm8vMmTOd6I0wxpipZM+zbd3d3SxcuJAbbriBvLw88vLyKCsrY3h4mN7eXnp6eujp6WFwcJCOjg46OjoQEXJzc+MF8mTO/66q9Pb20tbWFr+4Oj09PV4IH2xhPnJF09H+5kRPCmEFsTEppqenh89+9rN86UtfGvX03GgXw0UiEZqamhgYGCArK4uqqiorho0xJgHy8/N58cUX92pz09LSKCgooKCgAFWN9xz39PQQDofp7e2lt7c3/tjs7GxycnLIyckhOzt7QsYfxwrh2HtIWloaZWVlFBcXT2oPtYhM+HuQFcTGpJB169axaNEi3nrrLd58801iU2Pt62I4VWXLli2EQiHS09Oprq52+kIOY4yZakYWf3/84x+5++67eeihh+K9pyJCdnY22dnZlJeXMzQ0RE9PD729vezatYuhoaHdCmTwLnCLFcg5OTkH1IscCoVobW1l165dgFcIl5aWUlJSkvChGhPFCmJjUsRTTz1FTU0NO3fu5F//9V956KGHEJFxL4ZraWmhu7s7vmpSMBhMYGpjjDExAwMDXH755WzatImLL76YX/3qV6OOpU1PT6eoqIiioiJUlcHBQcLhMKFQiFAoRF9fH/39/fT399PZ2Ql4RW2s93isXuRwOExra2u8sA4EAvFCONk7SqwgNmaKi0QifPOb3+Tmm29GVVm0aBH3338/+fn54/5se3s77e3tiAhVVVVkZWUlILExxpjRZGRksHz5ck4//XR++9vf8ulPf5pf/OIX++yVFZH4VGUFBQWA974QDod3K5Jjvco9PT3xn83KyiInJ4esrKzdvhcIBCgpKaG0tDTpC+GYhBfE0SWfVwMLgTbg50AZkAZcoqobROQ24MzothtV9XeJzmnMVLF48WIaGhoQEW677Ta+8pWv7NcprZ07d7Jt2zbAm2t42rRpkx3VGGPMOI499lieeuopzjzzTO677z4KCwv57ne/e0BjagOBALm5ueTm5gLEe5FDoVC8SA6Hw3vNESwi8UJ4omd58Jsf/5tvAIXR+7cBD6rqIyJyJnC0iATxiuF/A44Efgsc7UNOY6aEhQsX8uSTT9LQ0MA555yzXz8TCoXYsmULAOXl5RQWFo7zE8YYYxLl5JNPZvny5ZxzzjncddddFBUVcfPNNx/07xvZixxr72O9yLHiOCMjg5KSkik7bC6hI59FZAFQDLwR3fRBoFpEVgIXASuBQSATCAJ5eL3JxpgD0NLSEr//iU98gvXr1+93Mdzf3x+fa7ioqIiysrLJimmMMeYgnXnmmTz00EMEAgHq6+vZsGHDhP7+WC9yWVkZVVVVVFRUTNliGBJYEItIOvAt4EsjNs8GdqnqGUAj8BVgI7AGWAs8D/xtjN9XKyKrRGTV9u3bJzO6MUkjEonw9a9/nblz5/K3v73z0iktLd2vnx8513BeXh4zZsyw6dWMMcZRH/3oR/nFL37BE088wdy5c/2Ok9QS2UP8ZWCZqu4Ysa0feDR6fzlwPPAJQIG5wOHAZSJy1J6/TFWXqOp8VZ1vPVjGeJO3X3DBBXzta18jHA7zyiuvHNDPRyIRGhsbGRwcJCsri8rKSiuGjTHGcZdddhlnnXVW/Ovu7m4f0ySvRBbEZ+MVt38EjgOWAquA2LN4Ot5Qilxgu6oOAz1AF7ArgTmNSRoNDQ3Mnj07fsXvY489RmFhIU899RRXXXXVuD8fiUQYGhqiv7+fzZs3Ew6HCQaDNtewMcYkoeeee445c+awcuVKv6MknYRdVKeqp8XuR4viK4EB4Cci8hmgE7gUCAFLROS/8Ar2X6jq3mvLGpPiGhoadltlbmhoCBHhC1/4AgsWLKCtrY3h4WGGh4eJRCK7/Ru7v+fSl2lpaTbXsDHGJKlnnnmGjo4OzjvvPFauXMmJJ57od6SkIRO9FrQf5s+fr7EVt4xJFVVVVWzevHmv7dOnT+e5557b79+TlpZGIBAgGAxSUVFBTk7ORMZMeSLyuqrO9ztHIlmbbIw/IpEIl156KQ888AA5OTkUFBTQ0tIy6iqkqWhf7fHUmkTOmBTQ19dHS0tLfFq0PbW0tFBcXExaWlq82B3t37S0tElZD94YY4w/AoEA9957L2+99RZ//etf42cQGxsbqa2tBUj5ongsybngtDEpaGhoiGeffZYTTzyRu+++m4qKilEfV1VVxYwZMzjssMMoLS2luLiYgoIC8vLy4isOBYNBAoGAFcPGGDPFBINBRpt9KxQKUVdX50Oi5GAFsTGOGx4eZu3atVxyySV8+MMf5o033mD58uXU19fvNbwhJyeH+vp6n5IaY4xxwVhnEJuamhKcJHlYQWyMoyKRCNu3b+fb3/42J510Eg8//DCBQIBrr72W//7v/+byyy9nyZIlVFdXIyJUV1ezZMkSOx1mjDEprqqq6oC2GxtDbIxzVJWdO3eyZs0arr766vgCG6eccgo/+clPeNe73hV/bE1NjRXAxhhjdlNfX7/bLETgnUE8lOWdpzrrITbGEapKT08PGzZsYMuWLeTk5CAilJeXs3TpUl588cXdimFjjDFmNDU1NXudQbziiiu48cYb+fvf/+53PCdZQWyMA0KhEBs3buSHP/wh69atIz09ncrKSh555BHefvttLrnkErsAzhhjzH6rqalh06ZNRCIRNm3aRG9vL9u3b+f888+nvb3d73jOsSETxviov7+f1tZW/vrXv1JfX8+qVas466yzeOaZZwgEAhQXF/sd0RhjzBTw4x//mNWrV7Nq1Souvvhinn76adLTrQyMsR5iY3xw//33U1lZSXZ2NkcddRQXXHABq1atorS0lIsuush6g40xxkyorKwsfvOb31BeXs7zzz/PTTfd5Hckp1hBbEyCxMYI33XXXVx55ZU0NzejquzatQtV5YwzzuDtt9/miiuusILYGGPMhJs1axa//vWvSU9P5zvf+Q4PP/yw35GcYQWxMZNseHiY9vZ21q1bR2NjI3fccQd9fX17PW79+vU2RMIYY8ykOu200/je974HwOc+9zl27drlcyI32OARYybJwMAA7e3tdHZ2EolEAEhPT6elpWXUx9uE6cYYYxLhs5/9LNu2bePjH/84ubm5fsdxghXExkyg2BCI9vZ2enp64tsjkQh33nkn5513HlVVVTQ2Nu71szZhujHGmEQQEVvVdA82ZMJMinA4THNzM1u3bmVoaMjvOJMuEonQ2dnJhg0b2LRpEz09PYgIBQUFtLa2smjRIpYuXcp1113HrbfeaksuG2OMccbSpUv56le/6ncMX1kPsZkwkUiE7u5uOjo6dlsdp7u7m5kzZ5KXl+djuskxODhIR0cHHR0dDA8PA5CWlkZxcTG5ubncdttt3HHHHagqxx57LA888ADvete7SE9Pp66ujqamJqqqqqivr7cV54wxxiTcxo0b+dSnPsXQ0BBHH300F198sd+RfCGq6neGQzZ//nxdtWqV3zFSVqwo7OzsjPcGBwIBioqKCIfD8eK4uLiYiooKAoHkPzERCoVob29n586d8W1ZWVmUlJRQUFDAm2++ySc/+UneeOMNAoEAN9xwA7fccgsZGRk+pjZ+EJHXVXW+3zkSydpkY5LLD3/4Q6655hqys7P585//zHHHHed3pEmxr/bYeojNQYmNle3o6KC7uzu+PTMzk5KSEgoLCwkEAqgqO3bsoK2tjY6ODnp7e6msrNxryEAyiEQi7Ny5k46ODsLhcHx7fn4+JSUl8aWWI5EIH//4x1mzZg2HH344y5Yt4+STT/YxuTHGGDO2q6++mtdff51f/vKXLFq0KD4vfiqxgtgckOHhYbq6uujo6KC/vz++vaCggOLi4nhRGCMilJWVMW3aNLZs2UJ/fz8bN26krKyM8vLypJhvt6+vj87Ozt1mi0hLS6OoqIji4uK9en0DgQBLlizhgQce4M4772TatGl+xDbGGGP2i4jwox/9iDfffJO//OUvXHTRRTz77LMptZKdDZkw+6W/v5/29na6urp2m0KsuLiYoqIigsHguL8jEonQ1tbGjh07AG+IQWVlJVlZWZOa/WCMNR46Ozub4uJiCgoK4kM/VJVf/vKXrF27lm9961t+RTaOmipDJkTkS8B/APnAD1T152M91tpkY5LTli1bOOGEE2hra+PGG2/k9ttv9zvShLIhE+agxFZWa29v323i7pycHEpKSsjPzz+gHt5AIEBFRQV5eXls2bKFvr4+NmzYwGGHHUZJSYkTvcUDAwPx8dCxi+QCgUC8Bzw7O3u3x7e2tlJbW8vjjz8OwEUXXcTxxx+f8NzGTCYRWQCcCrwfmAbc4G8iY8xkqKys5JFHHuHKK6/kk5/8pN9xEirhBbGI5ACrgYVAG/BzoAxIAy5R1Q0i8kngSryG91FV/Uaic6ayoaEhOjs76ejoYHBwEPBOpxQWFlJSUnLIPbq5ubkcccQRbNu2ja6uLlpaWujp6WHmzJm+XHQWK/xjY5xjMjMzKS4uprCwkLS0NAAaGhris0OUlpbS19dHT08PBQUF3HPPPVP2QgST8s4B1gDLsYLYmCnt1FNP5Y033oi/76UKP3qIvwEURu/fBjyoqo+IyJnA0SISBj4LfAAYAupFJENVB3zImnJCoRBNTU3x2SIyMjLiwyIm8sWRlpZGZWUl+fn5NDc3s2vXLtavX8/06dMpLCxMSG/xwMBAfGxw7P8bmzs41hs8MkdDQwO1tbXxIRTbt28H4KijjmLFihXMmjVr0jMb45PpwDzgbKAaeEJE/peOGHMnIrVALdgiM8Yku5Hv91dffTVPPPEEzc3NU3qa0IQWxNHTbsXAG9FNHwQ2iMhK4H+A64CPAX8HHgAOA+qtGE6Mjo4Otm3bhqqSk5MTvxhuMovT/Px8cnJyaG5upqenJ/7vjBkzJmUwv6rS29tLR0fHbivJxQr/wsLCMf9uXV3dbuOJY3p7e60YNlNdH/C0qvYDa0WkFygFtsceoKpLgCXgjSH2JaUxZkLV1NTw4IMPxr9ubGyktrY2/r2pJGEFsYikA98CLgIeiW6eDexS1TNE5D+BrwC78MapnQQEgZdE5L2q2rXH77PeiAkSiURoaWmho6MDgJKSEioqKhI2pjc9PZ2qqiq6urrYtm0b3d3dhEKhQ17MIxKJMDg4yODgIAMDAwwMDLBz587dhoHk5+dTVFREbm7uuP/fpqamUbdv3rz5oDMakyReBi4XkTvxOiqmATv8jWSMmWx/+tOf9toWCoWoq6uzgvgQfBlYpqo7RhQe/cCj0fvL8Qrm3wG/jxXAIvIP4EjgtZG/zHojJsbQ0BBNTU2EQiFEhBkzZlBUVJTwHCISL0y3bNlCKBSisbGRoqIiKioqRh2uMTw8HC92Rxa+sftjLRkdDAbjw0AOpBe6qqqKxsbGUbcbM8X9CjgB+HP066t0KkxRZIzZp61bt466fawOomSWyIL4bCAiIpcBxwFLgVXAWUADcDreUIqXgStEJAvvQrujgPUJzJkywuEwTU1NDA4Oxntp/V4wIyMjgzlz5tDe3k5rayudnZ309vZSXFy8V9Ebm/5tX4LBIMFgkIyMDILBIDk5OQc9DKS+vn63McTgzbhRX19/wL/LmGSiqhHgS37nMMYkVip1BCWsIFbV02L3ReSPeLNIDAA/EZHPAJ3AparaJSL3AS9EH36rqnYmKmeq6Orqorm5GVUlOzubqqqq/ZpLOBFEhNLS0vhiHn19fbS2to76uFihu2fhG7tN5LCP2Omh2CwTU/niAmOMMWa0jiCA6667zqdEk8cW5kgxqkpra2t8cYyioiKmT58eX2TCNZFIJD79255Fb1pamhNzFxuzL1NlYY4DYW2yMVPHyOlGMzMzKSoq4sUXX2Tu3Ll+RztgtjCHAbzxwlu2bInPtTt9+nSKi4udLioDgUDKradujDHGuKKmpiZ+JrS7u5tIJEJhYeE4P5V83OwWNBOur6+PjRs30tvbS1paGnPmzHFmdThjjDHGuC8/Pz9eDKsqv//9731ONHGsIE4B3d3dbNy4kYGBAbKyspg7dy65ubl+xzLGGGNMkrr22ms544wz+NGPfuR3lAlhBfEUFhsv3NTURCQSoaCggMMPP9yX5ZGNMcYYM3UsWLAA8Arj559/3uc0h84K4ilqeHiYpqam+PLCFRUVVFZWOnvxnDHGGGOSx+LFi7nxxhsZHh7mYx/7GGvWrPE70iGx6mgK6u/vZ+PGjfT09BAIBKiurqa0tNTGCxtjjDFmwtTX17No0SJ27tzJueeeS3t7u9+RDpoVxFNMT08PGzZsoL+/n8zMTObOnXtIyx8bY4wxxowmEAiwbNkyjjvuONavX8+FF17IwMCA37EOihXEU0h7ezuNjY1EIhHy8vI4/PDDyczM9DuWMcYYY6aoadOm8fjjj1NRUUFHRwedncm5lprNQzxF9Pb2sm3bNgDKy8spKyuzIRLGGGOMmXSzZs3id7/7HVVVVUl7Vtp6iKeAwcFBNm/eDEBZWRnl5eVWDBtjjDEmYY4++uh4MayqrFu3zudEB8YK4iQXiURoampieHiY3NxcysvL/Y5kjDHGmBQ1MDDAJZdcwgknnMDq1av9jrPfrCBOci0tLYTDYYLBILNmzbKeYWOMMcb4JhgMMjw8TE9PD+eeey5tbW1+R9ovVhAnsa6uLjo6OhARZs2aRXq6DQk3xhhjjH9EhHvvvZf3vve9bNq0iQsuuID+/n6/Y43LCuIk1dfXR3NzMwDTp08nJyfH50TGGGOMMZCdnc3y5cuprKzkpZdeora2FlX1O9Y+WUGchGKr0KkqhYWFFBUV+R3JGGOMMSZu+vTpPP744+Tk5LB06VLuuOMOvyPtkxXESUZV2bJlCwMDA2RlZTFjxgwbN2yMMcYY5xx//PE0NDQA8LOf/Yzq6moCgQCzZ8+Ob3eFFcRJZseOHfElmWfNmkUgYE+hMcYYY9y0aNEiPv/5z7N169b42e3GxkZqa2udKoqtmkoivb29tLa2AlBZWWmr0BljjDHGeY8++ijhcHi3baFQiLq6Op8S7S0lpyXo7e2lu7ubrKwssrOzyczMdL6ndc/FN/Lz831OZIwxxhgzvqampgPa7oeULYg7OjriX4sIWVlZ8QLZtSLZFt8wxhhjTLKqqqqisbFxr+3BYJDNmzcza9YsH1Ltzo2KL8EKCgqoqKigoKCAjIwMVJVwOExnZydbt25lw4YN/POf/2T9+vU0NzfT0dFBOBwmEon4ktcW3zDGGGNMsqqvr99relgRYWBggOOPP54VK1b4lOwdCe0hFpEcYDWwEGgDfg6UAWnAJaq6Ifq4APAScKuqTvheivUCxwwPDxMOh+nr6yMcDhMOhxkYGKCvr4++vj46Oztj+cnMzIz/fCJ6km3xDWOMMcYks5qaGgDq6upoamqiqqqKG2+8kccee4wVK1awcOFC6urquPXWW307O5/o6uobQGH0/m3Ag6r6iIicCRwNbIh+7xpgXqJCpaWlMW3aNKZNmxbfNjw8vFuBvK8iubCwkNLS0gm/yM0W3zDGGGPMVFBTUxMvjGNqa2u5/fbbufnmm9m8ebOvZ8ATVhCLyAKgGHgjuumDwAYRWQn8D3Bd9HFVwL8DT47z+2qBWvDGpky0tLQ0cnNzyc3NjW/bs0ju6+ujv7+fzs5OOjs7yc/Pp7S0dEIKV1t8wxhjjDFTWSAQoK6ujve///285z3viRfEAwMDZGRkJDZLIv6IiKQD3wK+NGLzbGCXqp4BNAJfiW6/C/gCsM81/lR1iarOV9X5ZWVlEx96FLEiubS0lFmzZnHkkUdy5JFHUlRUhIjQ3d3Nxo0b2bhxIz09PQe9TKEtvmGMMcaYVPG+970v3pnY29vLCSecwO23357Qa7cSNVDjy8AyVd0xYls/8Gj0/nLgeBH5BPCGqq5JUK5DlpmZycyZM5k3bx6lpaUEAgFCoRCNjY2sX7+ezs7OA35CbfENY4wxxqSiFStWsHr1am666SbOPfdc2tvbE/J3E1VpnQ1cJiJ/BI4DlgKrgLOi3z8dbyjFR4APRR93NnCHiByToIyHJBgMUlFRwb/8y79QUVFBeno6/f39NDc3s3btWnbs2MHw8PC4v8cW3zDGGGNMqrrwwgt56qmnKC4u5umnn+Y973kPr7766qT/3YQUxKp6mqqerqqnA/8NLAY+DVwqIi8AHwK+raqfUNX3RR+3Aviyqv4jERknSlpaGqWlpcybN4+ZM2eSmZnJ0NAQLS0tvP3227S0tDA4ODjqz9riG8YYY4xJdQsXLuRvf/sbJ554Ik1NTZx66ql8//vfP+ihqPsj4efio4XxGlXdqKpnRYvl81S1a4/HXTYZU64lSiAQoKioiCOOOIKqqipycnKIRCLs2LGDtWvX0tzcTH9/f/zxtviGMcYYY4ynqqqKF154geuvv57BwUGuv/56Vq5cSUNDA7NnzyYQCDB79mwaGhom5O/ZpLaTTETIz88nPz+fUCjEjh076O7u3mtmiq6uLlt8wxhjjDEmKiMjg+9973u8733v409/+hOtra3U1tYSCoUAaGxspLa2FmCvKd0OlExm93OizJ8/X1etWuV3jP3W39/Pjh076Orq2q37X0SYM2eOzTdszBQiIq+r6ny/cxwqEXkN2BX98n9U9fKxHptsbbIxJjnMnj171CWgq6ur2bRp07g/v6/22HqIfRCbmaK8vJz29nY6OjqIRCK2+IYxxkkikgGkR6/vMMYYXzQ1NR3Q9gNhBbGPYjNTlJWVMTg4SFZWlt+RjDFmNMcAuSLyPN61J3Wq+orPmYwxKaaqqmrUHuKJWKDNJrh1QFpamhXDxhiX9QF34k2VeRXwYHTBpTgRqRWRVSKyavv27X5kNMZMcfX19XudSc/JyaG+vv6Qf7cVxMYYY8azDrhPPWuBHUDFyAf4sXqoMSa11NTUsGTJEqqrqxERqqurWbJkySFfUAc2ZMIYY8z4LgNOAD4jIjOBfGCrr4mMMSmppqZmQgrgPVlBbIwxZjz3AaeKyH8BClyuqge2Jr0xxjjMCmJjjDH7pKoDwCV+5zDGmMliY4iNMcYYY0xKs4LYGGOMMcaktCmxUp2IbAf2nphufKV4V0u7wKUsYHnGY3nG5lIW8D9Ptaqm1LQLB9km+/087cny7JtLeVzKApZnPH7mGbM9nhIF8cESkVWuLKnqUhawPOOxPGNzKQu4l8eMzrXnyfLsm0t5XMoClmc8ruWJsSETxhhjjDEmpVlBbIwxxhhjUlqqF8RL/A4wgktZwPKMx/KMzaUs4F4eMzrXnifLs28u5XEpC1ie8biWB0jxMcTGGGOMMcakeg+xMcYYY4xJcVYQG2OMMcaYlGYFsTHGGGOMSWlWEO8HERG/MxhjjPFYm2yMmWjpfgdwkYjMAyqAQeA1VR3yOc90oADYqqrdIiLqyNWQLmQRkUxV7fczw0giUg0UAZ1Ak5/7R0QKgTxV3Rz9OqCqER/zVEbz/DP6ta/HXC1twQAADZJJREFUj2vHjhmdtcn7z+8srr2mXGqPo3msTd53Ht+OHyuI9xBt6H4INAH9QC7wOx/zzAB+Hv3yLeCLDryg5wLlqvqyqqqfLyARyQEaROQuVf2THxn2yDMdb0qZHmA7cBfwtk9ZZgI/AopE5M+qeqPPDW86cC0wM/p8vRY9fnx5Q3Dt2DGjszZ5fK60ya69plxqj6N5rE3edx5fjx8bMrG3bwAPq+qngI3AhT7nuQV4QlUXAoeLyM0i8gkROdqPMNFTlR8FviMi/w4QfQH58uFKVUPAPOBOEblARNL8yDHCt4EHVPVCvN6sxT5m+SawXFVPA44WkatF5IPRRjnhor16m4FjgI+KyMXR7b68ITh47JjRWZu8Dy61yQ6+plxqj8Ha5PHy+Hr8WEG8t2GgJXr/OWBa7BvRUy+J1ofXMwJQDBwHnAScH82U0LF00V6HjUAeUCMiX4x+y49PkyIiZcCfgbuBq4Cro58yE05EgkA2sCW66Sm8U3Wx75cmMEsaEAQ2RDeVA2cDtcCHEpVjRJ7Ycfos0IjXs3ZUtJj4jB95XDp2zD5Zm7wPrrTJrr2mXGqPo3/P2uRx8vh9/FhBvLdlQEf0fhZwGICI3A2c7EOeBuCfIpIJfFtVLwB+AkwXkaxEBhGR2PHyB+B14H6gQkR+Cvxn9DEJezNQz3ZgqaouBf4P8O9AnYiUJyrHiDyDwC+B8IjNZQAichewIIFZhoF7ga0iUgLco6r/Ed327kR/8o6dvlXVtXgN70rgn8CVwAcgtY8ds0/WJo/BpTbZtdeUS+1xNI+1yePk8fv4sTHEgIi8FzgSyAeaVfXx6Le6gU0ichNwmKo+5EOeFlV9Nbo9Nm7uI0C6qvYlIk9M7DSKqraLSAfQBiwHHgYaReQ2EtArISLvAqoAAXaq6ovRXKtF5JN4b6CLgf872VlG5KmO5ulU1Vei3+oGNorI/wFmquozPmRZH93+cPQhxwEZ0cZ50o14rgAiqroCaMXrTTsReAJ4Ht5poBOUx4ljx4zO2uT940Kb7NpryqX2eIw81iaPnsf34yfll24WkVOA7wBP4p3O+CiwXlUviH4qWYP36bsmEY3dGHk2qOr5IvJZ4CwgEzhfVcNj/6YJzfRe4Ai8U5VhVV0mIhcCRwFz8U4fvqqqTyYgyynAHcBLeFd5zwNWq+rn9nhcuibgSvRR8hwJvKmqnxORY4BX8J7LSyf7+Bkjy1uqeo2IXAecCWQAi6JjtSbVHnnygX/B2x8/AP4f8EdV/c/JzjFGHt+PHTM6a5P3K5MTbbJrrymX2uN95LE2efQ8vh8/qGrK3vCm8XkJ+MCIbVnAn4AvAmnAPcBRDuS5Nvp1KTAtgfvoFLwxPTcBXwP+gXfKMBvvTen2BGaZDvxXbP/gvTn9L+Bp4CKiH/AcyXMB3ptkA/CvDmRJx3ujLPR53zwD/G/goyMeO+nPm2vHjt3GfJ6sTR4/kxNtsmuvKZfa4/3MY22yQ8ePqqb8kInZwMuq+gcAEclQ1T4R+RmwEG+w+02q2u1AnnNEJAIsU9XeRIQRkQq8T291IzJ9G2/Ko+uBr4/YnohpfuYDL6jqH6Jjm4ZUdY2IvIj3STtdRB5L1P4ZJ8+5eG+c16s3LsrPLB/B64V4XBPQC7EfeY4FXo0e3wMJOG7Gy+PHsWNGNxtrk8fkWJvs2mvKpfZ4vDzWJrt3/KT8RXWDwALxrmxEVQeig90X4w2430lix1nvK88JQDteD0mizGaUNwO8C0iOxLsQICeaNREvoB68T9QAaaqqIlIEvBc4A2//ZSYgx/7kOT2aJ1FXeu8rywcAxetBSpSx8izAezMYxLsq3u88fh07ZnTWJu/bbNxpk117TbnUHo+Xx9pk946flC+IN+NN1v3+6CcUgBDek/BjVX1QVTvG/OnE5vmJqj6U4Dz7ejM4Fe8CjkReVb0DqBKR9+s744ny8KavuVtVf6Wq7Q7l+XUC84yX5f85tm9cy5PoY8eMztrkfXOpTXbtNeVSe7w/eVxrA13Lk/A2OSUvqpMRq7CIyHnAbcAjeHMUDgJlqnpZquYZkascb1Wdh4FHo5/gsoEVwGOq+l0fMl0OfB9vsv5BvCmYDlPVKxKdxbU8LmWxPOZAuNYGupZnRC6n2mTXXlOWx/IcUp5UKohF5HBV3Ri9H1RvnkJE5Cy8CyPKgHXAs5qAKVBcyzMil3NvBjJifXPxrkz9IDAENAMPaoJnBXApj0tZHM2TrdGr/13IY97hWhvoWp4RuZxqkx18jVue5MrjZpusCb6Kz68b3jyAfwXeNWJbAG/lo5NSPU/07x8+4n5wxP2zgE8A1+Fd2JKWgCwVeGOJ5uHN7wneWL2VwDE+7Btn8riUxdE85cB78MZ45ka3Bf3KY7cxnyen2kDX8kT/vhNtsoOvccuTXHmSok1OiVkmoqeUfoT3pJwMrI5+638Df1PVl1M5TzRTNfCIiCxW1dWqOijeKkgrgK+p6nMJzJIN/BzvE+M24Fa8pVs/Bbyuqv8Y8dhJn93CpTwuZXE4z0/wLr4KA/kiciPe0qgJz2NG51ob6FqeaCYn2mRHX+OWJ7nyJEWbnCoX1f0UbzLuk/Cu0o35g6reAN4pqVTNM8qbQYxfbwY3AetUdRHQBXxVvLXV81X1y9HMAUjY7BYu5XEpi4t5bsZbNOFy4IdACd6k8wGf8pjROdUGupbHsTbZtde45UmuPEnTJk/5glhEjga2qeqP8aY5OUdEzgdQ1XXRx4hGx2elWp4op94M8HpntotIATAHbwLvMuA4EckVkbQE7x+X8riUxcU8m/BmBUBV38Sbn/VvRKfq8iGP2YNrbaBreaJcapNde41bnuTKs4lkaZPHG1ORzDe8ZS1z9th2HvA9YEaq54n+/aOBb0fvVwJ/x1uCdORjErJiTHT/lEdvvwGWAP+Ifi8d+HEi95NLeVzK4nCeUrw3gCa8i44uxVtRbCFez0R2ovLYbZ/PkzNtoGt5on/fiTbZ0de45UmuPEnVJk/ZHmIRWQTcB7wgIj8QkSOj33oDb667j6RynmimacD/aLTHQVW34J3eOE1EZsQep9Gje5KzLAJ+iTc+rhZvSdL/C7wZfcgVQLmqbp3sLK7lcSmL43meBz4W/ft5ePOxfi76sFyNXtVs/OFaG+hanmgmJ9pkh1/jlie58iRXm+x3RT5Jn0ymAy/gfTLJAZYDrxK9YhfvCt0/skfPQKrkif7NRXjT9qzCG89zZHT7HLwB+bU+Pl9PAC/jrbz0LPAY3mmWilTL41KWJMnzFPAM3gpIhwNfBV7Cp94+u435PFmbvHcmJ9rkJHiNW57kypM0bbLvASbpCZmHN51HrHErxuum/zXewHKAzBTO49SbwRj757+An0a/PgzI8/n58iWPS1mSKM8LwEN40/rMxJujNSF57HZAz5O1ye/kcaZNTpLXuOVJrjxJ0SZPyYU5RCQXuCr65Rq8+e868Rqdx1X1lURO7+Fgnnl444k+raobRaQY+C3esp+fUtVuGTGRdwLyjLV/ZgG/VtXXEpHDxTwuZUmyPDPxVvJKaB4zOgfbQNfyONMmJ9Fr3PIkVx7n2+QpNQ+xiHwFb6fvBArxJln/EJChql8XkWV4V1uSiIbOtTwjNOOdwrhARGIH7CN4bwZHAa8AA5MdYj/3T8Vk53Axj0tZLI85WK61ga7lGcH3Ntm115TlsTyJNmUuqhORzwMLgAa8q3KPAIpV9XrgaRFpAHap6hOpmCea6Ssicg/ePIVz8D61fQhvbNEP8D5RJuTNwLX941Iel7JYHnOwXHueXMsTzeREm+zavrE8lscPU6mHOB9vzMzLIvImcBpwjIhcALyIt7TlY6maZ8QB+x28RvZTwCZVvV5EPhI9YHsSeMA6tX8cy+NSFstjDpZrz5NTeRxrk53aN5bH8vgh6XuIRaQyencrUC8ipXinlgqBt/AGdm9P1JPhWp4R4gcs3tQs63jngH0V+JWqXjnZIVzbPy7lcSmL5TEHy7XnybU8I/jeJru2byyP5fHTVOghvkG8FVkuxbuacQXeE/E7vE8mt4hInqr2pGIeEalUby7L2AH7OtCLd8Cuxjtgf4M3NUsiOLV/HMvjUhbLYw6Wa8+TU3kca5Od2jeWx/L4Kel7iIFBvAsQngWW4p2C+h7QgjfNx28S/GS4lucGEVkK/AzvIo0VeCvY/A5viqFjRSQvgXlc2z8u5XEpi+UxB8u158m1PC61ya7tG8tjeXyT1AWxiKQDPcBFwDLgUeA/8D6h5AB3qOpvUzVPlDMHrGv7x6U8LmWxPOZgufY8uZYnyok22bV9Y3ksj+/UgcmQD+UGZBJd8QRvfewXgC9Ynvj65bcCRwOX4K1ec1404wXAham8f1zL41IWy2O3qfI8uZTHtTbZpX1jeSyP37ekH0Os3kTlW6P3nxaR7XhrZ6d8HlUdEpFvAiWqukxE2oEbgSNU9U6fMjmzf1zL41IWy2MOlmvPk0t5XGuTXdo3lsfy+G1KrlRnxiYiC4CPqeqX/c5ijDGpztpkY9xgBbExxhhjjElpSX1RnTHGGGOMMYfKCmJjjDHGGJPSrCA2xhhjjDEpzQpiY4wxxhiT0qwgNsYYY4wxKc0KYmOMMcYYk9KsIDbGGGOMMSnt/wNnr6RluoEc+wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x504 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import matplotlib\n",
    "# 以下 font.family 设置仅适用于 Mac系统，其它系统请使用对应字体名称\n",
    "matplotlib.rcParams['font.family'] = 'Arial Unicode MS'\n",
    "preddf=model.predict(X_test)*vstd.values+vmean.values\n",
    "m = 16\n",
    "xts = src_canada[['year','season']].iloc[-m:].apply(lambda x:str(x[0])+'-'+x[1],axis=1).values\n",
    "cols = src_canada.drop(columns=['year','season']).columns\n",
    "fig, axes = plt.subplots(2,2,figsize=(10,7))\n",
    "index = 0\n",
    "for ax in axes.flatten():\n",
    "    ax.plot(range(m),src_canada[cols].iloc[-m:,index],'-',c='lightgray',linewidth=2,label=\"real\")\n",
    "    ax.plot(range(m-8,m),preddf[:,index],'o--',c='black',linewidth=2,label=\"predict\")\n",
    "    ax.set_xticklabels(xts,rotation=50)\n",
    "    ax.set_ylabel(\"$\"+cols[index]+\"$\",fontsize=14)\n",
    "    ax.legend()\n",
    "    index = index + 1\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
